% -------------------------- Journals --------------------------
@string{acmtgraphics = "ACM Transactions on Graphics"}
@string{acmtkdd = "ACM Transactions on Knowledge Discovery from Data"}
@string{acmtois = "ACM Transactions on Information Systems"}
@string{acmtoms = "ACM Transactions on Mathematical Software"}
@string{ams = "Annals of Mathematical Statistics"}
@string{aos = "The Annals of Statistics"}
@string{applopt = "Applied Optics"}
@string{annphys = "Annals of Physics"}
@string{bbs = "Behavioral and Brain Sciences"}
@string{behbio = "Behavioral Biology"}
@string{biocyb = "Biological Cybernetics"}
@string{brain = "Brain"}
@string{bmbiol = "Bulletin of Mathematical Biology"}
@string{bmbiophys = "Bulletin of Mathematical Biophysics"}
@string{BYTE = "BYTE"}
@string{cacm = "Communications of the ACM"}
@string{cad = "Computer-Aided Design"}
@string{cils = "Chemometrics and Intelligent Laboratoy Systems"}
@string{cn = "Clinical Neurophysiology"}
@string{cogsci = "Cognitive Science"}
@string{computer = "IEEE Computer"}
@string{connsci = "Connection Science"}
@string{cs = "Complex Systems"}
@string{cpc = "Computer Physics Communications"}
@string{cspla = "Computer Speech and Language"}
@string{cvgip = "Computer Vision, Graphics, and Image Processing"}
@string{cybsys = "Cybernetics and Systems"}
@string{daed = "D\ae dalus, Proceedings of the American Academy of Arts and Sciences"}
@string{dmkd = "Data Mining and Knowledge Discovery"}
@string{EEGCN = "EEG and Clinical Neurophysiology"}
@string{el = "Electronics Letters"}
@string{eul = "Europhysics Letters"}
@string{febsl = "FEBS Letters"}
@string{ftml = "Foundations and Trends$^\circledR$ in Machine Learning"}
@string{ieeejstsp = "IEEE Journal of Selected Topics in Signal Processing"}
@string{ieeetac = "IEEE Transactions on Automatic Control"}
@string{ieeetaslp= "IEEE Transactions on Audio, Speech, and Language Processing"}
@string{ieeetbme = "IEEE Transactions on Biomedical Engineering"}
@string{ieeetcasi = "IEEE Transactions on Circuits and Systems - I: Fundamental Theory and Applications"}
@string{ieeetcbb = "IEEE/ACM Transactions on Computational Biology and Bioinformatics"}
@string{ieeetassp = "IEEE Transactions on Acoustics, Speech, and Signal Processing"}
@string{ieeetkde = "IEEE Transactions on Knowledge and Data Engineering"}
@string{ieeetsmc = "IEEE Transactions on Systems, Man, and Cybernetics"}
@string{ieeetsmcb = "IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics"}
@string{ieeetmi = "IEEE Transactions on Medical Imaging"}
@string{ieeetip = "IEEE Transactions on Image Processing"}
@string{ieeetit = "IEEE Transactions on Information Theory"}
@string{ieeetnn = "IEEE Transactions on Neural Networks"}
@string{ieeetnnls = "IEEE Transactions on Neural Networks and Learning Systems"}
@string{ieeetassp = "IEEE Transactions on Acoustics, Speech, and Signal Processing"}
@string{ieeetsap = "IEEE Transactions on Speech and Audio Processing"}
@string{ieeetsp = "IEEE Transactions on Signal Processing" }
@string{ieeespl = "IEEE Signal Processing Letters" }
@string{ieeespm = "IEEE Signal Processing Magazine" }
@string{ieeetcom = "IEEE Transactions on Communications"}
@string{ieeetc = "IEEE Transactions on Computers"}
@string{ieeetcas = "IEEE Transactions on  Circuits and Systems"}
@string{ieeetce = "IEEE Transactions on Consumer Electronics"}
@string{ieeetec = "IEEE Transactions on Electronic Computers"}
@string{ieeetpami = "IEEE Transactions on Pattern Analysis and Machine Intelligence"}
@string{ieeetrehab = "IEEE Transactions on Neural Systems and Rehabilitation Engineering"}
@string{ieice = "IEICE Transactions on Fundamentals of Electronics, Communications Computer Sciences"}
@string{ijcv = "International Journal of Computer Vision"}
@string{ijns = "International Journal of Neural Systems"}
@string{ipm = "Information Processing and Management"}
@string{ivc = "Image and Vision Computing"}
@string{jacm = "Journal of the ACM"}
@string{jair = "Journal of Artificial Intelligence Research"}
@string{jama = "Journal of Mathematical Analysis and Applications"}
@string{jasa = "Journal of the American Statistical Association"}
@string{jasa_sound = "Journal of the Acoustical Society of America"}
@string{jiis = "Journal of Intelligent Information Systems"}
@string{josaa = "Journal of the Optical Society of America A"}
@string{jcn = "Journal of Communications and Networks"}
@string{jcomp = "Journal of Complexity"}
@string{jcopt = "Journal of Combinatorial Optimization"}
@string{jcp = "Journal of Chemical Physics"}
@string{jeeis = "Journal of Electrical Engineering and Information Science"}
@string{jieeeK = "Journal of IEEE Korea Council"}
@string{jmathb = "Journal of Mathematical Biology"}
@string{jmlr = "Journal of Machine Learning Research"}
@string{jmolecb = "Journal of Molecular Biology"}
@string{jmp = "Journal of Mathematical Physics"}
@string{jmpsych = "Journal of Mathematical Psychology"}
@string{jneuro = "Journal of Neuroscience"}
@string{jpa = "Journal of Physics A"}
@string{jphysiol = "Journal of Physiology (London)"}
@string{jpp = "Journal de Physique (Paris)"}
@string{jppl = "Journal de Physique Lettres (Paris)"}
@string{jprai = "Journal of Pattern Recognition and Artificial Intelligence"}
@string{jrssa = "Journal of the Royal Statistical Society A"}
@string{jrssb = "Journal of the Royal Statistical Society B"}
@string{jtb = "Journal of Theoretical Biology"}
@string{jvlsi = "Journal of VLSI Signal Processing"}
@string{kyb = "Kybernetik"}
@string{ml = "Machine Learning"}
@string{mlj = "Machine Learning"}
@string{mbio = "Mathematical Biosciences"}
@string{mcm = "International Journal on Mathematical and Computer Modeling"}
@string{mcss = "Mathematics of Control, Signals, and Systems"}
@string{mp = "Mathematical Programming"}
@string{nature = "Nature"}
@string{neco = "Neural Computation"}
@string{network = "Network: Computation in Neural Systems"}
@string{neucom = "Neurocomputing"}
@string{nc = "Neural Computation"}
@string{nn = "Neural Networks"}
@string{nnsupp = "Neural Networks Supplement"}
@string{npl = "Neural Processing Letters"}
@string{opteng = "Optical Engineering"}
@string{optlett = "Optics Letters"}
@string{opres = "Operations Research"}
@string{percep = "Perception (London)"}
@string{PTRSL = "Philosophical Transactions of the Royal Society of London B"}
@string{physicaA = "Physica A"}
@string{physicaD = "Physica D"}
@string{prA = "Physical Review A"}
@string{prB = "Physical Review B"}
@string{phrl = "Physical Review Letters"}
@string{pr = "Pattern Recognition"}
@string{prl = "Pattern Recognition Letters"}
@string{pscrip = "Physica Scripta"}
@string{plettA = "Physics Letters A"}
@string{pnas = "Proceedings of the National Academy of Sciences, USA"}
@string{PRSLB = "Proceedings of the Royal Society of London B"}
@string{psyrev = "Psychological Review"}
@string{psychometrika = "Psychometrika"}
@string{qrb = "Quarterly Reviews of Biophysics"}
@string{rmp = "Reviews of Modern Physics"}
@string{sciam = "Scientific American"}
@string{science = "Science"}
@string{siamjmaa = "SIAM Journal on Matrix Analysis and Applications"}
@string{siamjo = "SIAM Journal on Optimization"}
@string{siamjsc = "SIAM Journal on Scientific Computing"}
@string{sp="Signal Processing"}
@string{tprobapp = "Theory of Probability and Its Applications"}
@string{vr = "Vision Research"}
@string{ieeetec = "IEEE Transactions on Evolutionary Computation"}
@string{jgo = "Journal of Global Optimization"}

% -------------------------- Conferences --------------------------
@string{aaai = "Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)"}
@string{accv = "Proceedings of the Asian Conference on Computer Vision (ACCV)"}
@string{acmmm = "Proceedings of the ACM International Conference on Multimedia (MM)"}
@string{aistats = "Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS)"}
@string{chi = "Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI)"}
@string{bmvc = "Proceedings of the British Machine Vision Conference"}
@string{cic = "Proceedings of the CDMA International Conference"}
@string{cikm = "Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM)"}
@string{civr = "Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR)"}
@string{cnn = "Proceedings of the International Workshop on Cellular Neural Networks and their Applications"}
@string{colt = "Proceedings of the Annual Conference on Learning Theory (COLT)"}
@string{cvpr = "Proceedings of the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR)"}
@string{eccv = "Proceedings of the European Conference on Computer Vision (ECCV)"}
@string{ecml = "Proceedings of the European Conference on Machine Learning (ECML)"}
@string{ecmlpkdd = "Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)"}
@string{emnlp = "Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP)"}
@string{esann = "Proceedings of the European Symposium on Artificial Neural Networks (ESANN)"}
@string{eusipco = "Proceedings of EUSIPCO"}
@string{focs = "Proceedings of the Annual Symposium on Foundations of Computer Science (FOCS)"}
@string{hos = "Proceedings of the IEEE Workshop on Higher-order Statistics"}
@string{jcci = "Proceedings of Joint Conference on Communications and Information"}
@string{ica99 ="Proceedings of ICA'99"}
@string{ica="Proceedings of the International Conference on Independent Component Analysis and Blind Signal Separation (ICA)"}
@string{icann="Proceedings of the International Conference on Artificial Neural Networks (ICANN)"}
@string{icassp = "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)"}
@string{iccv = "Proceedings of the International Conference on Computer Vision (ICCV)"}
@string{icdm = "Proceedings of the IEEE International Conference on Data Mining (ICDM)"}
@string{icip = "Proceedings of the IEEE International Conference on Image Processing (ICIP)"}
@string{iclr = "Proceedings of the International Conference on Learning Representations (ICLR)"}
@string{icml = "Proceedings of the International Conference on Machine Learning (ICML)"}
@string{icnn = "Proceedings of the International Conference on Neural Networks"}
@string{iconip = "Proceedings of the International Conference on Neural Information Processing (ICONIP)"}
@string{icpr = "Proceedings of the International Conference on Pattern Recognition (ICPR)"}
@string{icra = "Proceedings of the International Conference on Robotics and Automation (ICRA)"}
@string{icslp = "Proceedings of the International Conference on Spoken Language Processing (ICSLP)"}
@string{icsp = "Proceedings of the International Conference on Speech Processing"}
@string{ieeedsp = "Proceedings of the IEEE DSP Workshop"}
@string{ijcai = "Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI)"}
@string{ijcnn = "Proceedings of the International Joint Conference on Neural Networks (IJCNN)"}
@string{isann = "Proceedings of the International Symposium on  Artificial Neural Networks"}
@string{iscas = "Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS)"}
@string{isis = "Proceedings of the International Symposium on  Intelligent Systems"}
@string{ismir = "Proceedings of the International Conference on Music Information Retrieval (ISMIR)"}
@string{isspa = "Proceedings of the IEEE International Symposium on  Signal Processing and Applications"}
@string{itc-cscc = "Proceedings of the International Technical Conference on Circuits/Systems, Computers, and Communications"}
@string{kdd = "Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)"}
@string{mlsp = "Proceedings of the IEEE Workshop on Machine Learning for Signal Processing (MLSP)"}
@string{nips = "Advances in Neural Information Processing Systems (NIPS)"}
@string{neurips = "Advances in Neural Information Processing Systems (NeurIPS)"}
@string{nips87 = "Neural Information Processing Systems"}
@string{nnsp7 = "Neural Networks for Signal Processing VII"}
@string{nnsp = "Proceedings of the IEEE Workshop on Neural Networks for Signal Processing"}
@string{nolta = "Proceedings of the International Symposium on Nonlinear Theory and Applications"}
@string{pakdd = "Proceedings of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)"}
@string{pricai = "Proceedings of the Pacific Rim International Conference on Artificial Intelligence (PRICAI)"}
@string{recsys = "Proceedings of the ACM International Conference on Recommender Systems (RecSys)"}
@string{sdm = "Proceedings of the SIAM International Conference on Data Mining (SDM)"}
@string{siggraph = "Proceedings of ACM SIGGRAPH"}
@string{sigir = "Proceedings of the ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)"}
@string{sigmod = "Proceedings of the ACM SIGMOD Conference on Management of Data (SIGMOD)"}
@string{smc = "Proceedings of IEEE International Conference on Systems, Man, and Cybernetics (SMC)"}
@string{snowbird = "Neural Networks for Computing"}
@string{socg = "Proceedings of the Annual ACM Symposium on Computational Geometry (SoCG)"}
@string{soda = "Proceedings of the ACM-SIAM Symposium on Discrete Algorithms (SODA)"}
@string{spawc = "Proceedings of the IEEE International Conference on Signal Processing Advances in Wireless Communications (SPAWC)"}
@string{stoc = "Proceedings of the Annual ACM Symposium on Theory of Computing (STOC)"}
@string{tenerife = "Proceedings of the International Workshop on Independence and Artificial Neural Networks"}
@string{uai = "Proceedings of the Annual Conference on Uncertainty in Artificial Intelligence (UAI)"}
@string{vldb = "Proceedings of the International Conference on Very Large Data Bases (VLDB)"}
@string{wacv = "Proceedings of the IEEE Workshop on Applications of Computer Vision (WACV)"}
@string{wacv-winter = "Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV)"}
@string{wsdm = "Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM)"}
@string{www = "Proceedings of the International Conference on World Wide Web (WWW)"}
@string{procieee = "Proceedings of the IEEE"}
@string{gecco = "Proceedings of the Annual Conference on Genetic and Evolutionary Computation (GECCO)"}
@string{lion = "Proceedings of the International Conference on Learning and Intelligent Optimization (LION)"}
@string{cogsci = "Proceedings of the Annual Conference of the Cognitive Science Society (CogSci)"}
@string{corl = "Proceedings of the Conference on Robot Learning (CoRL)"}
@string{iros = "Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)"}

% -------------------------- Workshops --------------------------
@string{nipsworkshop-blind = "Neural Information Processing Systems Workshop on Blind Signal Processing and Applications"}
@string{icmlw-automl = "International Conference on Machine Learning Workshop on Automatic Machine Learning (AutoML)"}
@string{icmlw-automated = "International Conference on Machine Learning Workshop on Automated Machine Learning (AutoML)"}
@string{automl-icml-ijcai-ecai = "International Workshop on Automatic Machine Learning at International Conference on Machine Learning / International Joint Conference on Artificial Intelligence and European Conference on Artificial Intelligence (AutoML)"}
@string{neuripsw-bo = "Neural Information Processing Systems Workshop on Bayesian Optimization (BayesOpt)"}
@string{ml4eng-neurips = "Machine Learning for Engineering Modeling, Simulation, and Design Workshop at Neural Information Processing Systems (ML4Eng)"}
@string{neuripsw-ml4eng = "Neural Information Processing Systems Workshop on Machine Learning for Engineering Modeling, Simulation, and Design (ML4Eng)"}
@string{lmca-neurips = "Learning Meets Combinatorial Algorithms Workshop at Neural Information Processing Systems (LMCA)"}
@string{neuripsw-lmca = "Neural Information Processing Systems Workshop on Learning Meets Combinatorial Algorithms (LMCA)"}

% -------------------------- Venues --------------------------
% neurips, icml, aistats, uai, iclr, cvpr, iccv, eccv, aaai

@string{venue-virtual = "Virtual"}

@string{atlanta-usa = "Atlanta, Georgia, USA"}
@string{austin-usa = "Austin, Texas, USA"}
@string{bellevue-usa = "Bellevue, Washington, USA"}
@string{boston-usa = "Boston, Massachusetts, USA"}
@string{denver-usa = "Denver, Colorado, USA"}
@string{fortlauderdale-usa = "Fort Lauderdale, Florida, USA"}
@string{honolulu-usa = "Honolulu, Hawaii, USA"}
@string{laketahoe-usa = "Lake Tahoe, Nevada, USA"}
@string{lasvegas-usa = "Las Vegas, Nevada, USA"}
@string{longbeach-usa = "Long Beach, California, USA"}
@string{madison-usa = "Madison, Wisconsin, USA"}
@string{neworleans-usa = "New Orleans, Louisiana, USA"}
@string{newyork-usa = "New York, New York, USA"}
@string{portland-usa = "Portland, Oregon, USA"}
@string{saltlakecity-usa = "Salt Lake City, Utah, USA"}
@string{sandiego-usa = "San Diego, California, USA"}
@string{sanfrancisco-usa = "San Francisco, California, USA"}
@string{seattle-usa = "Seattle, Washington, USA"}
@string{stanford-usa = "Stanford, California, USA"}
@string{washington-usa = "Washington, District of Columbia, USA"}

@string{banff-canada = "Banff, Alberta, Canada"}
@string{montreal-canada = "Montreal, Quebec, Canada"}
@string{toronto-canada = "Toronto, Ontario, Canada"}
@string{vancouver-canada = "Vancouver, British Columbia, Canada"}

@string{edinburgh-uk = "Edinburgh, Scotland, UK"}
@string{glasgow-uk = "Glasgow, Scotland, UK"}

@string{barcelona-spain = "Barcelona, Spain"}
@string{granada-spain = "Granada, Spain"}

@string{lille-france = "Lille, France"}
@string{paris-france = "Paris, France"}
@string{toulon-france = "Toulon, France"}

@string{stockholm-sweden = "Stockholm, Sweden"}
@string{helsinki-finland = "Helsinki, Finland"}
@string{amsterdam-netherlands = "Amsterdam, The Netherlands"}
@string{rome-italy = "Rome, Italy"}
@string{vienna-austria = "Vienna, Austria"}
@string{telaviv-israel = "Tel Aviv, Israel"}
@string{sydney-australia = "Sydney, Australia"}
@string{seoul-korea = "Seoul, Republic of Korea"}
@string{beijing-china = "Beijing, China"}

@string{venue-neurips-1987 = denver-usa}
@string{venue-neurips-1988 = denver-usa}
@string{venue-neurips-1989 = denver-usa}
@string{venue-neurips-1990 = denver-usa}
@string{venue-neurips-1991 = denver-usa}
@string{venue-neurips-1992 = denver-usa}
@string{venue-neurips-1993 = denver-usa}
@string{venue-neurips-1994 = denver-usa}
@string{venue-neurips-1995 = denver-usa}
@string{venue-neurips-1996 = denver-usa}
@string{venue-neurips-1997 = denver-usa}
@string{venue-neurips-1998 = denver-usa}
@string{venue-neurips-1999 = denver-usa}
@string{venue-neurips-2000 = denver-usa}
@string{venue-neurips-2001 = vancouver-canada}
@string{venue-neurips-2002 = vancouver-canada}
@string{venue-neurips-2003 = vancouver-canada}
@string{venue-neurips-2004 = vancouver-canada}
@string{venue-neurips-2005 = vancouver-canada}
@string{venue-neurips-2006 = vancouver-canada}
@string{venue-neurips-2007 = vancouver-canada}
@string{venue-neurips-2008 = vancouver-canada}
@string{venue-neurips-2009 = vancouver-canada}
@string{venue-neurips-2010 = vancouver-canada}
@string{venue-neurips-2011 = granada-spain}
@string{venue-neurips-2012 = laketahoe-usa}
@string{venue-neurips-2013 = laketahoe-usa}
@string{venue-neurips-2014 = montreal-canada}
@string{venue-neurips-2015 = montreal-canada}
@string{venue-neurips-2016 = barcelona-spain}
@string{venue-neurips-2017 = longbeach-usa}
@string{venue-neurips-2018 = montreal-canada}
@string{venue-neurips-2019 = vancouver-canada}
@string{venue-neurips-2020 = venue-virtual}
@string{venue-neurips-2021 = venue-virtual}

@string{venue-icml-1998 = madison-usa}
@string{venue-icml-1999 = "Bled, Slovenia"}
@string{venue-icml-2000 = stanford-usa}
@string{venue-icml-2001 = "Williamstown, Massachusetts, USA"}
@string{venue-icml-2002 = sydney-australia}
@string{venue-icml-2003 = washington-usa}
@string{venue-icml-2004 = banff-canada}
@string{venue-icml-2005 = "Bonn, Germany"}
@string{venue-icml-2006 = "Pittsburgh, Pennsylvania, USA"}
@string{venue-icml-2007 = "Corvallis, Oregon, USA"}
@string{venue-icml-2008 = helsinki-finland}
@string{venue-icml-2009 = montreal-canada}
@string{venue-icml-2010 = "Haifa, Israel"}
@string{venue-icml-2011 = bellevue-usa}
@string{venue-icml-2012 = edinburgh-uk}
@string{venue-icml-2013 = atlanta-usa}
@string{venue-icml-2014 = beijing-china}
@string{venue-icml-2015 = lille-france}
@string{venue-icml-2016 = newyork-usa}
@string{venue-icml-2017 = sydney-australia}
@string{venue-icml-2018 = stockholm-sweden}
@string{venue-icml-2019 = longbeach-usa}
%@string{venue-icml-2020 = vienna-austria}
@string{venue-icml-2020 = venue-virtual}
@string{venue-icml-2021 = venue-virtual}

@string{venue-aistats-2007 = "San Juan, Puerto Rico"}
@string{venue-aistats-2010 = "Sardinia, Italy"}
@string{venue-aistats-2011 = fortlauderdale-usa}
@string{venue-aistats-2012 = "La Palma, Canary Islands, Spain"}
@string{venue-aistats-2013 = "Scottsdale, Arizona, USA"}
@string{venue-aistats-2014 = "Reykjavik, Iceland"}
@string{venue-aistats-2015 = sandiego-usa}
@string{venue-aistats-2016 = "Cadiz, Spain"}
@string{venue-aistats-2017 = fortlauderdale-usa}
@string{venue-aistats-2018 = "Lanzarote, Canary Islands, Spain"}
@string{venue-aistats-2019 = "Naha, Japan"}
%@string{venue-aistats-2020 = "Palermo, Italy"}
@string{venue-aistats-2020 = venue-virtual}
@string{venue-aistats-2021 = venue-virtual}
@string{venue-aistats-2022 = venue-virtual}

@string{venue-uai-2005 = edinburgh-uk}
@string{venue-uai-2019 = telaviv-israel}
%@string{venue-uai-2020 = toronto-canada}
@string{venue-uai-2020 = venue-virtual}
@string{venue-uai-2021 = venue-virtual}

@string{venue-iclr-2015 = sandiego-usa}
@string{venue-iclr-2016 = "San Juan, Puerto Rico"}
@string{venue-iclr-2017 = toulon-france}
@string{venue-iclr-2018 = vancouver-canada}
@string{venue-iclr-2019 = neworleans-usa}
%@string{venue-iclr-2020 = "Addis Ababa, Ethiopia"}
@string{venue-iclr-2020 = venue-virtual}
@string{venue-iclr-2021 = venue-virtual}
@string{venue-iclr-2022 = venue-virtual}

@string{venue-cvpr-2004 = washington-usa}
@string{venue-cvpr-2007 = "Minneapolis, Minnesota, USA"}
@string{venue-cvpr-2010 = sanfrancisco-usa}
@string{venue-cvpr-2015 = boston-usa}
@string{venue-cvpr-2016 = lasvegas-usa}
@string{venue-cvpr-2017 = honolulu-usa}
@string{venue-cvpr-2018 = saltlakecity-usa}
@string{venue-cvpr-2019 = longbeach-usa}
%@string{venue-cvpr-2020 = seattle-usa}
@string{venue-cvpr-2020 = venue-virtual}
@string{venue-cvpr-2021 = venue-virtual}

@string{venue-iccv-2017 = "Venice, Italy"}
@string{venue-iccv-2019 = seoul-korea}
@string{venue-iccv-2021 = venue-virtual}

@string{venue-eccv-2016 = amsterdam-netherlands}
%@string{venue-eccv-2020 = glasgow-uk}
@string{venue-eccv-2020 = venue-virtual}

@string{venue-aaai-2002 = "Edmonton, Alberta, Canada"}
@string{venue-aaai-2018 = neworleans-usa}
@string{venue-aaai-2019 = honolulu-usa}
@string{venue-aaai-2020 = newyork-usa}
@string{venue-aaai-2021 = venue-virtual}
@string{venue-aaai-2022 = venue-virtual}

% -------------------------- entries --------------------------
% Jungtaek Kim

@inproceedings{KimJ2016automl,
	title="{AutoML} {Challenge}: {AutoML} Framework Using Random Space Partitioning Optimizer",
	author="J. Kim and J. Jeong and S. Choi",
	booktitle=icmlw-automl,
	year=2016,
	address=venue-icml-2016
}

@misc{KimJ2017bayeso,
	author="J. Kim and S. Choi",
	title="{BayesO}: A {Bayesian} optimization framework in {Python}",
	howpublished="\url{https://bayeso.org}",
	year=2017
}

@misc{KimJ2019bayesobenchmarks,
	author="J. Kim",
	title="{BayesO Benchmarks}",
	howpublished="\url{https://github.com/jungtaekkim/bayeso-benchmarks}",
	year=2019
}

@article{KimJ2017arxiv,
	title="Learning to Warm-Start {Bayesian} Hyperparameter Optimization",
	author="J. Kim and S. Kim and S. Choi",
	journal="{arXiv} preprint {arXiv}:1710.06219",
	year=2017
}

@inproceedings{KimJ2017bayesopt,
	title="Learning to Transfer Initializations for {Bayesian} Hyperparameter Optimization",
	author="J. Kim and S. Kim and S. Choi",
	booktitle=neuripsw-bo,
	year=2017,
	address=venue-neurips-2017
}

@inproceedings{KimS2018aaai,
	author="S. Kim and J. Kim and S. Choi",
	title="On the Optimal Bit Complexity of Circulant Binary Embedding",
	booktitle=aaai,
	pages="3423--3430",
	address=venue-aaai-2018,
	year=2018
}

@inproceedings{KimJ2018icassp,
	author="J. Kim and S. Choi",
	title="Clustering-Guided {GP-UCB} for {Bayesian} Optimization",
	booktitle=icassp,
	pages="2461--2465",
	address="Calgary, Alberta, Canada",
	year=2018
}

@inproceedings{JoI2018icassp,
	author="I. Jo and J. Kim and H. Kang and Y.-D. Kim and S. Choi",
	title="Open Set Recognition by Regularising Classifier with Fake Data Generated by Generative Adversarial Networks",
	booktitle=icassp,
	pages="2686--2690",
	address="Calgary, Alberta, Canada",
	year=2018
}

@inproceedings{KimJ2018automl,
	author="J. Kim and S. Choi",
	title="Automated Machine Learning for Soft Voting in an Ensemble of Tree-based Classifiers",
	booktitle=icmlw-automl,
	address=venue-icml-2018,
	year=2018
}

@inproceedings{LeeJ2019icml,
	title="{Set Transformer}: A Framework for Attention-based Permutation-Invariant Neural Networks",
	author="J. Lee and Y. Lee and J. Kim and A. R. Kosiorek and S. Choi and Y. W. Teh",
	booktitle=icml,
	pages="3744--3753",
	year=2019,
	address=venue-icml-2019
}

@inproceedings{KimJ2019automl,
	title="{Bayesian} optimization over sets",
	author="J. Kim and M. McCourt and T. You and S. Kim and S. Choi",
	booktitle=icmlw-automated,
	year=2019,
	address=venue-icml-2019
}

@inproceedings{KimJ2020ecmlpkdd,
	title="On Local Optimizers of Acquisition Functions in {Bayesian} Optimization",
	author="J. Kim and S. Choi",
	booktitle=ecmlpkdd,
	pages="675--690",
	year=2020,
	address=venue-virtual
}

@inproceedings{LeeJ2020neurips,
	title="Bootstrapping Neural Processes",
	author="J. Lee and Y. Lee and J. Kim and E. Yang and S. J. Hwang and Y. W. Teh",
	booktitle=neurips,
	volume=33,
	pages="6606--6615",
	year=2020,
	address=venue-neurips-2020
}

@inproceedings{KimJ2020ml4eng,
	author="J. Kim and H. Chung and J. Lee and M. Cho and J. Park",
	title="Combinatorial {3D} Shape Generation via Sequential Assembly",
	booktitle=neuripsw-ml4eng,
	year=2020,
	address=venue-neurips-2020
}

@article{KimJ2021ml,
	author="J. Kim and M. McCourt and T. You and S. Kim and S. Choi",
	title="Bayesian Optimization with Approximate Set Kernels",
	journal=ml,
	volume=110,
	number=5,
	pages="857--879",
	year=2021
}

@article{KimJ2020arxiv,
	title="Combinatorial {Bayesian} Optimization with Random Mapping Functions to Convex Polytopes",
	author="J. Kim and M. Cho and S. Choi",
	journal="{arXiv} preprint {arXiv}:2011.13094",
	year=2020
}

@inproceedings{ChungH2021neurips,
	title="{Brick-by-Brick}: Combinatorial construction with deep reinforcement learning",
	author="H. Chung and J. Kim and B. Knyazev and J. Lee and G. W. Taylor and J. Park and M. Cho",
	booktitle=neurips,
	volume=34,
	pages="5745--5757",
	year=2021,
	address=venue-neurips-2021
}

@inproceedings{LeeJ2020lmca,
	title="Fragment Relation Networks for Geometric Shape Assembly",
	author="J. Lee and J. Kim and H. Chung and J. Park and M. Cho",
	booktitle=neuripsw-lmca,
	year=2020,
	address=venue-neurips-2020
}

@inproceedings{KimJ2022aistats,
	author="J. Kim and S. Choi",
	title="On Uncertainty Estimation by Tree-based Surrogate Models in Sequential Model-based Optimization",
	booktitle=aistats,
	pages="4359--4375",
	year=2022,
	address=venue-aistats-2022
}

@inproceedings{LeeJ2022ijcai,
	author="J. Lee and J. Kim and H. Chung and J. Park and M. Cho",
	title="Learning to Assemble Geometric Shapes",
	booktitle=ijcai,
	year=2022,
	address=vienna-austria
}

% -------------------------- entries --------------------------
% main

@inproceedings{AbdallahSA2004ismir,
	author="S. A. Abdallah and M. D. Plumbley",
	title="Polyphonic Music Transcription by Non-Negative Sparse Coding of Power Spectra",
	pages="318--325",
	booktitle=ismir,
	address="Barcelona, Spain",
	year=2004
}

@inproceedings{AbdiH2005cvpr,
	author="H. Abdi and D. Valentin and A. J. O'Toole and B. Edelman",
	title="{DISTATIS}: The Analysis of Multiple Distance Matrices",
	pages="42--47",
	booktitle=cvpr,
	address="San Diego, CA",
	year=2005
}

@inproceedings{Abdel-HamidO2012icassp,
	author="O. {Abdel-Hamid} and A.-R. Mohamed and H. Jiang and G. Penn",
	title="Applying Convolutional Neural Networks Concepts to Hybrid {NN-HMM} Model for Speech Recognition",
	booktitle=icassp,
	address="Kyoto, Japan",
	year=2012
}

@article{Abed-Meraim2000ieeespl_a,
	author="K. {Abed-Meraim} and A. Chkeif and Y. Hua",
	title="Fast Orthonormal {PAST} Algorithm",
	pages="60--62",
	journal=ieeespl,
	volume=7,
	number=3,
	year=2000
}

@article{Abed-Meraim00ieeespl_b,
	author="K. {Abed-Meraim} and S. Attallah and A. Chkeif and Y. Hua",
	title="Orthogonal {Oja} Algorithm",
	pages="116--119",
	journal=ieeespl,
	volume=7,
	number=5,
	year=2001
}

@techreport{Absil2004tr,
	author="P. {-A.} Absil and C. G. Baker and K. A. Gallivan",
	title="Trust-Region Methods on {Riemannian} Manifolds",
	number="FSU-CSIT-04-13",
	institution="School of Computational Science, Florida State University",
	year=2004
}

@article{AchantaR2012ieeetpami,
	author="R. Achanta and A. Shaji and K. Smith and A. Lucchi and P. Fuaa and S. S{\"u}sstrunk",
	title="{SLIC} Superpixels Compared to State-of-the-Art Superpixel Methods",
	pages="2274--2282",
	journal=ieeetpami,
	volume=34,
	number=11,
	year=2012
}

@article{AchlioptasD2007jacm,
	author="D. Achlioptas and F. {McSherry}",
	title="Fast Computation of Low-Rank Matrix Approximations",
	journal=jacm,
	volume=54,
	number=2,
	year=2007
}

@inproceedings{AgarwalD2007kdd,
	author="D. Agarwal and S. Merugu",
	title="Predicitive Discrete Latent Factor Models for Large Scale Dyadic Data",
	booktitle=kdd,
	address="San Jose, California",
	year=2007
}

@inproceedings{AgarwalS2005cvpr,
	author="S. Agarwal and J. Lim and L. {Zelnik-Manor} and P. Perona and D. Kriegman and S. Belongie",
	title="Beyond Pairwise Clustering",
	booktitle=cvpr,
	address=sandiego-usa,
	year=2005
}

@inproceedings{AgarwalS2006icml,
	author="S. Agarwal and K. Branson and S. Belongie",
	title="Higher Order Learning with Graphs",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@inproceedings{AgarwalSh2006icml,
	author="S. Agarwal",
	title="Ranking on Graph Data",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@inproceedings{AgarwalS2007aistats,
	author="S. Agarwal and J. Wills and L. Cayton and G. Lanckriet and D. Kriegman and S. Belongie",
	title="Generalized Non-Metric Multidimensional Scaling",
	booktitle=aistats,
	address=venue-aistats-2007,
	year=2007
}

@techreport{AgarwalSh2008tr,
	author="S. Agarwal",
	title="Transductive Ranking on Graphs",
	number="MIT-CSAIL-TR-2008-051",
	institution="Computer Science and AI Lab, MIT",
	year=2008
}

@inproceedings{AgarwalD2009kdd,
	author="D. Agarwal and B.-C. Chen",
	title="Regression-based Latent Factor Models",
	booktitle=kdd,
	address="Paris, France",
	year=2009
}

@inproceedings{AhmedA2010uai,
	author="A. Ahmed and E. P. Xing",
	title="Timeline: A Dynamic Hierarchical {Dirichlet} Process Model for Recovering Birth/Death and Evolution of Topics in Text Stream",
	booktitle=uai,
	address="Catalina Island, CA, USA",
	year=2010
}

@article{AhnJH2003nc,
	author="J. {-H}. Ahn and J. {-H.} Oh",
	title="A Constrained {EM} Algorithm for Principal Component Analysis",
	pages="57--65",
	journal=nc,
	volume=15,
	number=1,
	year=2003
}

@inproceedings{AhnJH2004accv,
	author="J. {-H}. Ahn and S. Kim and J. {-H.} Oh and S. Choi",
	title="Multiple Nonnegative-Matrix Factorization of Dynamic {PET} Images",
	booktitle="Proceedings of Asian Conference on Computer Vision",
	year=2004
}

@inproceedings{AhnJH2004icassp,
	author="J. {-H}. Ahn and S. Choi and J. {-H.} Oh",
	title="A New Way of {PCA}: Integrated-Squared-Error and {EM} Algorithms",
	booktitle=icassp,
	address="Montreal, Canada",
	year=2004
}

@inproceedings{AhnJH2004icml,
	author="J. {-H}. Ahn and S. Choi and J. {-H.} Oh",
	title="A Multiplicative Up-Propagation Algorithhm",
	pages="17--24",
	booktitle=icml,
	address="Banff, Canada",
	year=2004
}

@article{AhnJH2007neucom,
	author="J. {-H}. Ahn and J. {-H.} Oh and S. Choi",
	title="Learning Principal Directions: Integrated-Squared-Error Minimization",
	pages="1372--1381",
	journal=neucom,
	volume=70,
	year=2007
}

@article{AilonN2009siamjcomp,
	author="N. Ailon and B. Chazelle",
	title="The Fast {Johnson-Lindenstrauss} Transform and Approximate Nearest Neighbors",
	pages="302--322",
	journal="SIAM Journal on Computing",
	volume=39,
	number=1,
	year=2009
}

@article{AiroldiEM2008jmlr,
	author="E. M. Airoldi and D. M. Blei and S. E. Fienberg and E. P. Xing",
	title="Mixed Membership Stochastic Blockmodels",
	pages="1981--2014",
	journal=jmlr,
	volume=9,
	year=2008
}

@article{AitchisonJ1976biometrika,
	author="J. Aitchison and C. G. G. Aitken",
	title="Multivariate Binary Discrimination by the Kernel Method",
	pages="413--420",
	journal="Biometrika",
	volume=63,
	number=3,
	year=1976
}

@article{AkaikeH74ieeetac,
	author="H. Akaike",
	title="A New Look at the Statistical Model Identification",
	pages="716--723",
	journal=ieeetac,
	volume=19,
	number=6,
	year=1974
}

@inproceedings{Akuzawa2000ica,
	author="T. Akuzawa",
	title="Extended Quasi-{Newton} Method for the {ICA}",
	pages="521--525",
	booktitle="Proceedings of ICA",
	address="Helsinki, Finland",
	year=2000
}

@article{AlbertR2002rmp,
	author="R. Albert and A. Barab{\'a}si",
	title="Statistical Mechanics of Complex Networks",
	pages="47--97",
	journal="Reviews of Modern Physics",
	volume=74,
	number=1,
	year=2002
}

@article{AldousD85,
	author="D. Aldous",
	title="Exchangeability and Related Topics",
	pages="1--198",
	journal="\'Ecole d'\'Et\'e de Probabilit\'es de Saint-Flour XIII-1983",
	year=1985
}

@article{AliSM66jrssB,
	author="S. M. Ali and S. D. Silvey",
	title="A General Class of Coefficients of Divergence of One Distribution from Another",
	pages="131--142",
	journal=jrssB,
	volume=28,
	year=1966
}

@article{AllweinEL2000jmlr,
	author="E. L. Allwein and R. E. Schapire and Y. Singer",
	title="Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers",
	pages="113--141",
	journal=jmlr,
	volume=1,
	year=2000
}

@incollection{Almeida92,
	author="L. B. Almeida and F. M. Silva",
	title="Adaptive Decorrelation",
	pages="149--156",
	booktitle="Artificial Neural Networks",
	year=1992
}

@article{AlonN2008dm,
	author="N. Alon",
	title="Problems and Results in Extremal Combinatorics - {II}",
	pages="4460--4472",
	journal="Discrete Mathematics",
	volume=308,
	number=19,
	year=2008
}

@book{Amari85book,
	author="S. Amari",
	title="Differential Geometrical Methods in Statistics",
	publisher="Springer",
	year=1985
}

@inproceedings{Amari95nips,
	author="S. Amari and A. Cichocki and H. H. Yang",
	title="A New Learning Algorithm for Blind Signal Separation",
	pages="757--763",
	booktitle=nips,
	editor="D. S. Touretzky and M. C. Mozer and M. E. Hasselmo",
	volume=8,
	publisher="MIT Press",
	year=1996
}

@inproceedings{Amari97spawc,
	author="S. Amari and S. C. Douglas and A. Cichocki and H. H. Yang",
	title="Multichannel Blind Deconvolution and Equalization Using the Natural Gradient",
	pages="101--104",
	booktitle=spawc,
	address="Paris, France",
	year=1997
}

@article{Amari97ieeetsp,
	author="S. Amari and J. -F. Cardoso",
	title="Blind Source Separation: Semiparametric Statistical Approach",
	pages="2692--2700",
	journal=ieeetsp,
	volume=45 ,
	year=1997
}

@article{Amari97nn,
	author="S. Amari and T. -P. Chen and A. Cichocki",
	title="Stability Analysis of Learning Algorithms for Blind Source Separation",
	pages="1345--1351",
	journal=nn,
	volume=10,
	number=8,
	year=1997
}

@article{AmariS1998nc_a,
	author="S. Amari",
	title="Natural Gradient Works Efficiently in Learning",
	pages="251--276",
	journal=nc,
	volume=10,
	number=2,
	year=1998
}

@article{Amari98procieee,
	author="S. Amari and A. Cichocki",
	title="Adaptive Blind Signal Processing - Neural Network Approaches",
	pages="2026--2048",
	journal="Proceedings of of the IEEE, Special Issue on Blind Identification and Estimation",
	editors="R. Liu and L. Tong",
	volume=86,
	number=10,
	month="Oct.",
	year=1998
}

@inproceedings{Amari98icassp,
	author="S. Amari and S. C. Douglas",
	title="Why natural gradient?",
	pages="1213--1216",
	booktitle=icassp,
	address="Seattle, WA",
	year=1998
}

@inproceedings{Amari99ica,
	author="S. Amari",
	title="{ICA} of Temporally Correlated Signals-Learning Algorithm",
	pages="13--18",
	booktitle=ica99,
	address="Aussois, France",
	year="1999"
}

@article{Amari99nc,
	author="S. Amari",
	title="Natural Gradient for Over- and Under-Complete Bases in {ICA}",
	pages="1875--1883",
	journal=nc,
	volume=11,
	number=8,
	year=1999
}

@article{Amari2000nc_a,
	author="S. Amari and T. -P. Chen and A. Cichocki",
	title="Nonholonomic Orthogonal Learning Algorithms for Blind Source Separation",
	pages="1463--1484",
	journal=nc,
	volume=12,
	number=6,
	year=2000
}

@article{Amari2000nc_b,
	author="S. Amari",
	title="Estimating Functions of Independent Component Analysis for Temporally Correlated Signals",
	pages="2083--2107",
	journal=nc,
	volume=12,
	number=9,
	year=2000
}

@book{Amari2000book,
	author="S. Amari and H. Nagaoka",
	title="Methods of Information Geometry",
	publisher="Oxford University Press",
	year=2000
}

@article{Amari2007nc,
	author="S. Amari",
	title="Integration of Stochastic Models by Minimizing $\alpha$-Divergence",
	pages="2780--2796",
	journal=nc,
	volume=19,
	number=10,
	year=2007
}

@inproceedings{AmitY2007icml,
	author="Y. Amit and M. Fink and N. Srebro and S. Ullman",
	title="Uncovering Shared Structures in Multiclass Classification",
	booktitle=icml,
	address="Corvallis, OR, USA",
	year=2007
}

@article{AnderssonCA2000cils,
	author="C. A. Andersson and R. Bro",
	title="The {$N$}-Way Toolbox for {MATLAB}",
	pages="1--4",
	journal="Chemometrics and Intelligent Laboratory Systems",
	volume=52,
	year=2000
}

@inproceedings{AndoniA2014soda,
	author="A. Andoni and P. Indyk and H. L. Nguyen and I. Razenshteyn",
	title="Beyond Locality-Sensitive Hashing",
	booktitle=soda,
	address="Portland, Oregon, USA",
	year=2014
}

@inproceedings{AndoniA2015stoc,
	author="A. Andoni and I. Razenshteyn",
	title="Optimal Data-Dependent Hashing for Approximate Near Neighbors",
	booktitle=stoc,
	address="Portland, Oregon, USA",
	year=2015
}

@inproceedings{AndoniA2015nips,
	author="A. Andoni and P. Indyk and T. Laarhoven and I. Razenshteyn and L. Schmidt",
	title="Practical and Optimal {LSH} for Angular distance",
	booktitle=nips,
	volume=28,
	year=2015
}

@inproceedings{AndrewS2002nips,
	author="S. Andrew and I. Tsochantaridis and T. Hofmann",
	title="Support Vector Machines for Multiple-Instance Learning",
	booktitle=nips,
	volume=15,
	publisher="MIT Press",
	year=2003
}

@article{AndrieuC2003ml,
	author="C. Andrieu and N. {de Freitas} and A. Doucet and M. I. Jordan",
	title="An Introduction to {MCMC} for Machine Learning",
	pages="5--43",
	journal="Machine Learning",
	volume=50,
	year=2003
}

@inproceedings{AndrychowiczM2016nips,
	author="M. Andrychowicz and M. Denil and S. G. Colmenarejo and M. W. Hoffman and D. Pfau and T. Schaul and B. Shillingford and N. {de Freitas}",
	title="Learning to Learn by Gradient Descent by Gradient Descent",
	booktitle=nips,
	volume=29,
	year=2016,
	pages="3981--3989",
	address=venue-neurips-2016
}

@book{AntonH1994book,
	author="H. Anton and C. Rorres",
	title="Elementary Linear Algebra Applications",
	publisher="John Wiley {\&} Sons, Inc.",
	year=1994
}

@article{AntoniakCE74aos,
	author="C. E. Antoniak",
	title="Mixtures of {Dirichlet} Processes with Applications to {Bayesian} Nonparametric Problems",
	pages="1152--1174",
	journal="The Annals of Statistics",
	volume=2,
	number=6,
	year=1974
}

@article{ArbelaezP2011ieeetpami,
	author="P. Arbelaez and M. Maire and C. Fowlkes and J. Malik",
	title="Contour Detection and Hierarchical Image Segmentation",
	pages="898--916",
	journal=ieeetpami,
	volume=33,
	number=5,
	year=2011
}

@inproceedings{ArchambeauC2008nips,
	author="C. Archambeau and F. R. Bach",
	title="Sparse Probabilistic Projections",
	booktitle=nips,
	volume=21,
	year=2009
}

@article{ArgyriouA2008ml,
	author="A. Argyriou and T. Evgeniou and M. Pontil",
	title="Convex Multi-Task Feature Learning",
	pages="243-272",
	journal=ml,
	volume=73,
	number=3,
	year=2008
}

@article{ArmandP2000siamjo,
	author="P. Armand and J. C. Gilbert and S. {Jan-Jegou}",
	title="A Feasible {BFGS} Interior Point Algorithm for Solving Convex Minimization Problems",
	pages="199--222",
	journal=siamjo,
	volume=11,
	number=1,
	year=2000
}

@article{AryaS98jacm,
	author="S. Arya and D. M. Mount and N. S. Netanyahu and R. Silverman and A. Y. Wu",
	title="An Optimal Algorithm for Approximate Nearest Neighbor Searching",
	pages="891--923",
	journal=jacm,
	volume=45,
	number=6,
	year=1998
}

@article{Atick92network,
	author="J. J. Atick",
	title="Could Information Theory Provide an Ecological Theory of Sensory Processing",
	pages="213--251",
	journal=network,
	volume=3 ,
	year=1992
}

@inproceedings{Attias96nips,
	author="H. Attias and C. E. Schreiner",
	title="Low-order Temporal Statistics of Natural Sounds",
	pages="27--33",
	booktitle=nips,
	volume=9,
	year=1997
}

@inproceedings{Attias97nips,
	author="H. Attias and C. E. Schreiner",
	title="Coding of Naturalistic Stimuli by Auditory Midbrain Neurons",
	booktitle=nips,
	volume=10,
	publisher="MIT Press",
	year=1998
}

@article{Attias98nc,
	author="H. Attias and C. E. Schreiner",
	title="Blind Source Separation and Deconvolution: The Dynamic Component Analysis Algorithms",
	journal=nc,
	pages="1373--1424",
	volume=10,
	year=1998
}

@article{Attias99nc,
	author="H. Attias",
	title="Independent Factor Analysis",
	journal=nc,
	pages="803--851",
	volume=11,
	year=1999
}

@inproceedings{Attias99uai,
	author="H. Attias",
	title="Inferring Parameters and Structure of Latent Variable Models by Variational {Bayes}",
	booktitle=uai,
	year=1999
}

@inproceedings{Attias99nips,
	author="H. Attias",
	title="A Variational {Bayesian} Framework for Graphical Models",
	booktitle=nips,
	volume=12,
	year=2000
}

@article{BachF2002jmlr,
	author="F. Bach and M. I. Jordan",
	title="Kernel Independent Component Analysis",
	pages="1--48",
	journal=jmlr,
	volume=3,
	year=2002
}

@inproceedings{BachF2002uai,
	author="F. R. Bach and M. I. Jordan",
	title="Tree-Dependent Component Analysis",
	booktitle=uai,
	volume=18,
	address="Edmonton, Canada",
	year=2002
}

@inproceedings{BarchF2003ica,
	author="F. R. Bach and M. I. Jordan",
	title="Finding Clusters in Independent Component Analysis",
	booktitle="Proceedings of International Conference on Independent Component Analysis and Blind Signal Separation",
	address="Nara, Japan",
	year=2003
}

@article{BachF2003jmlr,
	author="F. R. Bach and M. I. Jordan",
	title="Beyond Independent Components: Trees and Clusters",
	journal=jmlr,
	pages="1205--1233",
	volume=4,
	year=2003
}

@inproceedings{BachF2004icml,
	author="F. R. Bach and G. R. G. Lanchriet and M. I. Jordan",
	title="Multiple Kernel Learning, Conic Duality, and the {SMO} Algorithm",
	booktitle=icml,
	address="Banff, Canada",
	year=2004
}

@inproceedings{BachF2007nips,
	author="F. R. Bach and Z. Harchaoui",
	title="{DIFFRAC}: A Discriminative and Flexible Framework for Clustering",
	booktitle=nips,
	volume=20,
	publisher="MIT Press",
	year=2008
}

@article{BachF2008jmlr,
	author="F. R. Bach",
	title="Consistency of Trace Norm Minimization",
	pages="1019--1048",
	journal=jmlr,
	volume=8,
	year=2008
}

@article{Back97ijns,
	author="A. D. Back and A. S. Weigend",
	title="A First Application of Independent Component Analysis to Extracting Structure from Stock Returns",
	journal=ijns,
	pages="473--484",
	volume=18,
	number=8,
	year=1997
}

@article{BaderBW2006acmtms,
	author="B. W. Bader and T. G. Kolda",
	title="Algorithm 862: {MATLAB} Tensor Classes for Fast Algorithm Prototyping",
	pages="635--653",
	journal="ACM Transactions on Mathematical Software",
	volume=32,
	number=4,
	year=2006
}

@inproceedings{BaiX2007iccv,
	author="X. Bai and G. Sapiro",
	title="A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting",
	booktitle=iccv,
	address="Rio de Janeiro, Brazil",
	year=2007
}

@article{BaiX2009ijcv,
	author="X. Bai and G. Sapiro",
	title="Geodesic Matting: A Framework for Fast Interactive Image and Video Segmentation and Matting",
	pages="113--132",
	journal=ijcv,
	volume=82,
	number=2,
	year=2009
}

@article{BakkerB2003jmlr,
	author="B. Bakker and T. Heskes",
	title="Task Clustering and Gating for {Bayesian} Multitask Learning",
	pages="83--99",
	journal=jmlr,
	volume=4,
	year=2003
}

@article{BalabanovicM97cacm,
	author="M. Balabanovic and Y. Shoham",
	title="Fab: Content-Based Collaborative Recommendation",
	pages="66--72",
	journal=cacm,
	volume=40,
	number=3,
	year=1997
}

@article{Balasubramanian2002science,
	author="M. Balasubramanian and E. L. Schwartz and J. B. Tenenbaum and V. de Silva and J. C. Langford",
	title="The {Isomap} Algorithm and Topological Stability",
	journal="Science",
	volume=295,
	month="January",
	year=2002
}

@article{Baldi89nn,
	author="P. Baldi and K. Hornik",
	title="Neural Networks for Principal Component Analysis: Learning from Examples without Local Minima",
	pages="53--58",
	journal=nn,
	volume=2,
	year=1989
}

@article{BalogM2015arxiv,
	author="M. Balog and Y. W. Teh",
	title="The {Mondrian} Process in Machine Learning",
	journal="{arXiv} preprint {arXiv}:1507.05181",
	year=2015
}

@article{BalujaS2008dmkd,
	author="S. Baluja and M. Covell",
	title="Learning to Hash: Forgiving Hash Functions and Applications",
	pages="402--430",
	journal=dmkd,
	volume=17,
	number=3,
	year=2008
}

@article{BanerjeeA2005jmlr,
	author="A. Banerjee and S. Merugu and I. S. Dhillon and J. Ghosh",
	title="Clustering with {Bregman} Divergences",
	pages="1705--1749",
	journal=jmlr,
	volume=6,
	year=2005
}

@inproceedings{BaoL2004pervasive,
	author="L. Bao and S. S. Intille",
	title="Activity Recognition from User-Annotated Acceleration Data",
	pages="1--17",
	booktitle="Pervasive Computing LNCS",
	volume=3001,
	publisher="Springer",
	year=2004
}


@article{BarabasiAL99science,
	author="A. L. Barabasi and R. Albert",
	title="Emergence of Scaling in Random Networks",
	pages="509--512",
	journal="Science",
	volume=286,
	number=5439,
	year=1999
}

@inproceedings{BardenetR2013icml,
	author="R. Bardenet and M. Brendel and B. {K\'egl} and M. Sebag",
	title="Collaborative Hyperparameter Tuning",
	booktitle=icml,
	pages="199--207",
	year=2013,
	address=venue-icml-2013
}

@inproceedings{Bar-YossefZ2003stoc,
	author="Z. {Bar-Yossef}",
	title="Sampling Lower Bounds via Information Theory",
	booktitle=stoc,
	address="San Diego, CA",
	year=2003
}

@article{BarkerGP73lap,
	author="G. P. Barker",
	title="The Lattice of Faces of a Finite Dimensional Cone",
	pages="71--82",
	journal="Linear Algebra and its Applications",
	volume=7,
	year=1973
}

@article{BarkerGP75,
	author="G. P. Barker and D. Carlson",
	title="Cones of Diagonally Dominant Matrices",
	pages="15--35",
	journal="Pacific Journal of Mathematics",
	volume=57,
	year=1975
}

@article{Barlow89nc,
	author="H. B. Barlow",
	title="Unsupervised Learning",
	pages="295--311",
	journal=nc,
	volume=1,
	year=1989
}

@incollection{Barlow89b,
	author="H. B. Barlow and P. {F\"oldi\'ak}",
	title="Adaptation and Decorrelation in the Cortex",
	editor="R. Durbin and C. Miall and G. Mitchison",
	booktitle="The Computing Neuron",
	publisher="Addison-Wesley",
	address="New York",
	year=1989
}

@article{BarnardK2003jmlr,
	author="K. Barnard and P. Duygulu and D. Forsyth and N. {de Freitas} and D. M. Blei and M. I. Jordan",
	title="Matching Words and Pictures",
	pages="1107--1135",
	journal=jmlr,
	volume=3,
	year=2003
}

@inproceedings{Bartlett97jsnc,
	author="M. S. Bartlett and T. J. Sejnowski",
	title="Independent Components of Face Images: A Representation for Face Recognition",
	booktitle="Proceedings of 4th Joint Symp. Neural Computation",
	year=1997
}

@inproceedings{Bartlett98spie,
	author="M. S. Bartlett and H. M. Lades and T. J. Sejnowski",
	title="Independent Component Representations for Face Recognition",
	booktitle="Proceedings of the SPIE Symposium on Electronic Imaging: Science and Technology; Conference on Human Vision and Electronic Imaging III",
	pages="528--539",
	address="San Jose, California",
	month="Jan.",
	year=1998
}

@article{BartlettPL2004jmlr,
	author="P. L. Bartlett and S. Mendelson",
	title="{Rademacher} and {Gaussian} Complexities: Risk Bounds and Structural Results",
	pages="463--482",
	journal=jmlr,
	volume=3,
	year=2002
}

@inproceedings{BasilicoJ2004icml,
	author="J. Basilico and T. Hofmann",
	title="Unifying Collaborative and Content-Based Filtering",
	pages="65--72",
	booktitle=icml,
	address="Banff, Canada",
	year=2004
}

@article{BaudatG2000nc,
	author="G. Baudat and F. Anouar",
	title="Generalized Discriminant Analysis using a Kernel Approach",
	pages="2385--2404",
	journal=nc,
	volume=12,
	number=10,
	year=2000
}

@article{BayerJ2015arxiv,
	author="J. Bayer and C. Osendorfer",
	title="Learning Stochastic Recurrent Networks",
	journal="{arXiv} preprint {arXiv}:1411.7610",
	year=2015
}

@inproceedings{BeattyM97icip,
	author="M. Beatty and B. S. Manjunath",
	title="Dimensionality Reduction Using Multi-Dimensional Scaling for Content-Based Retrieval",
	pages="835--838",
	booktitle=icip,
	year=1997
}

@inproceedings{Behnke2003ijcnn,
	author="S. Behnke",
	title="Discovering Hierarchical Speech Features Using Convolutional Non-negative Factorization",
	pages="2758--2763",
	booktitle=ijcnn,
	address="Portland, Oregon",
	year=2003
}

@article{Belhumeur97ieeetpami,
	author="P. N. Belhumeur and J. P. Hespanha and D. J. Kriegman",
	title="Eigenfaces vs. {F}isherfaces: Recognition Using Class Specific Linear Projection",
	pages="711--720",
	journal=ieeetpami,
	volume=19,
	number=7,
	month="Oct.",
	year=1997
}

@inproceedings{BelkinM2001nips,
	author="M. Belkin and P. Niyogi",
	title="Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering",
	booktitle=nips,
	volume=14,
	year=2002
}

@article{BelkinM2003nc,
	author="M. Belkin and P. Niyogi",
	title="Laplacian Eigenmaps for Dimensionality Reduction and Data Representation",
	pages="1373--1396",
	journal=nc,
	volume=15,
	year=2003
}

@article{BelkinM2004ml,
	author="M. Belkin and P. Niyogi",
	title="Semi-Supervised Learning on {Riemannian} Manifolds",
	pages="209--239",
	journal="Machine Learning",
	volume=56,
	year=2004
}

@techreport{BelkinM2004tr,
	author="M. Belkin and P. Niyogi and V. Sindhwani",
	title="Manifold Regularization: A Geometric Framework for Learning from Examples",
	number="TR-2004-06",
	institution="Department of Computer Science, University of Chicago",
	year=2004
}

@article{BelkinM2006jmlr,
	author="M. Belkin and P. Niyogi and V. Sindhwani",
	title="Manifold Regularization: A Geometric Framework for Learning Examples",
	pages="2399--2434",
	journal=jmlr,
	volume=7,
	year=2006
}

@article{Bell95nc,
	author="A. Bell and T. Sejnowski",
	title="An Information Maximisation Approach to Blind Separation and Blind Deconvolution",
	pages="1129--1159",
	journal=nc,
	volume=7,
	year=1995
}

@inproceedings{BellRM2007icdm,
	author="R. M. Bell and Y. Koren",
	title="Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights",
	booktitle=icdm,
	address="Omaha, NE",
	year=2007
}

@phdthesis{Belouchrani95phd,
	author="A. Belouchrani",
	title="S{\'e}paration Autodidacte de Sources: Algorithme, Performances et Application a des Signaux Exp{\'e}rimentaux",
	school="ENST, Telecom Paris",
	month="July",
	year=1995
}

@article{Belouchrani2000el,
	author="A. Belouchrani and A. Cichocki",
	title="Robust Whitening Procedure in Blind Source Separation Context",
	pages="2050--2051",
	journal=el,
	volume=36,
	number=24,
	month="Nov.",
	year=2000
}

@inproceedings{BengioS2010nips,
	author="S. Bengio and J. Weston and D. Grangier",
	title="Label Embedding Trees for Large Multi-Class Tasks",
	booktitle=nips,
	volume=23,
	year=2010
}

@inproceedings{BengioY2003nips,
	author="Y. Bengio and J. Paiement and P. Vincent and O. Delalleau and N. {Le Roux} and M. Ouimet",
	title="Out-of-Sample Extensions for {LLE}, {Isomap}, {MDS}, {Eigenmap}, and Spectral Clustering",
	booktitle=nips,
	volume=16,
	year=2004
}

@techreport{BengioY2003tr,
	author="Y. Bengio and  P. Vincent and J. Paiement and O. Delalleau and M. Ouimet and  N. {Le Roux}",
	title="Spectral Clustering and Kernel {PCA} are Learning Eigenfunctions",
	number="1239",
	institution="Departement d'informatique et recherche op\'erationnelle, Universit\'e de Montr\'eal",
	year=2003
}

@article{BengioY2004nc,
	author="Y. Bengio and O. Delalleau and N. {Le Roux} and J. {-F.} Paiement and M. Ouimet",
	title="Learning Eigenfunctions Links Spectral Embedding and Kernel {PCA}",
	pages="2197--2219",
	journal=nc,
	volume=16,
	year=2004
}

@inproceedings{BengioY2004nips,
	author="Y. Bengio and M. Monperrus",
	title="Non-Local Manifold Tangent Learning",
	booktitle=nips,
	volume=17,
	year=2005
}

@incollection{BengioY2006sslbook,
	author="Y. Bengio and O. Delalleau and N. {Le Roux}",
	title="Label Propagation and Quadratic Criterion",
	pages="193--216",
	editor="O. Chapelle and B. Sch{\"o}lkopf and A. Zien",
	booktitle="Semi-Supervised Learning",
	publisher="MIT Press",
	year=2006
}

@article{BengioY2006neco,
	author="Y. Bengio and M. Monperrus and H. Larochelle",
	title="Nonlocal Estimation of Manifold Structure",
	pages="2509--2528",
	journal=neco,
	volume=18,
	year=2006
}

@article{BengioY2009ftml,
	author="Y. Bengio",
	title="Learning Deep Architectures for {AI}",
	pages="1--127",
	journal=ftml,
	volume=2,
	number=1,
	year=2009
}

@article{BengioY2014arxiv,
	author="Y. Bengio",
	title="How Auto-Encoders Could Provide Credit Assignment in Deep Networks via Target Propagation",
	journal="arXiv:1407.7906",
	year=2014
}

@inproceedings{BengioY2014icml,
	author="Y. Bengio and {\'E}. {Thibodeau-Laufer} and G. Alain and J. Yosinski",
	title="Deep Generative Stochastic Networks Trainable by Backprop",
	booktitle=icml,
	address="Beijing, China",
	year=2014
}

@article{BenthemMHV2004chemometrics,
	author="M. H. V. Benthem and M. R. Keenan",
	title="Fast Algorithm for the Solution of Large-Scale Non-Negativity-Constrained Least Squares Problems",
	pages="441--450",
	journal="Journal of Chemometrics",
	volume=18,
	year=2004
}

@inproceedings{BergeronC2008icml,
	author="C. Bergeron and J. Zaretzki and C. Breneman and K. P. Bennet",
	title="Multiple Instance Ranking",
	booktitle=icml,
	address="Helsinki, Finland",
	year=2008
}

@inproceedings{BergstraJ2011neurips,
	author="J. Bergstra and R. Bardenet and Y. Bengio and B. {K\'egl}",
	title="Algorithms for Hyper-Parameter Optimization",
	booktitle=neurips,
	volume=24,
	year=2011,
	pages="2546--2554",
	address=venue-neurips-2011
}

@article{BergstraJ2012jmlr,
	author="J. Bergstra and Y. Bengio",
	title="Random Search for Hyper-Parameter Optimization",
	pages="281--305",
	journal=jmlr,
	volume=13,
	year=2012
}

@inproceedings{BerjaniB2011sns,
	author="B. Berjani and T. Strufe",
	title="A Recommendation System for Spots in Location-Based Online Social Networks",
	booktitle="Proceedings of the 4th Workshop on Social Network Systems",
	address="Salzburg, Austria",
	year=2011
}

@inproceedings{BertalmioM2000siggraph,
	author="M. Bertalmio and G. Sapiro and V. Caselles and C. Ballester",
	title="Image Inpainting",
	booktitle=siggraph,
	year=2000
}

@article{BertalmioM2003ieeetip,
	author="M. Bertalmio and L. Vese and G. Sapiro and S. Osher",
	title="Simultaneous Structure and Texture Image Inpainting",
	pages="882--889",
	journal=ieeetip,
	volume=12,
	number=8,
	year=2003
}

@inproceedings{BertinN2007icassp,
	author="N. Bertin and R. Badeau and G. Richard",
	title="Blind Signal Decompositions for Automatic Transcription of Polyphonic Music: {NMF} and {K-SVD} on the Benchmark",
	booktitle=icassp,
	address="Honolulu, Hawaii",
	year=2007
}

@article{BertsekasDP82siamjco,
	author="D. P. Bertsekas",
	title="Projected {Newton} Methods for Optimization Problems with Simple Constraints",
	pages="221--246",
	journal="SIAM Journal on Control and Optimization",
	volume=20,
	number=2,
	year=1982
}

@book{BertsekasDP99book,
	author="D. P. Bertsekas",
	title="Nonlinear Programming",
	publisher="Athena Scientific",
	year=1999
}

@book{BertsekasDP2003book,
	author="D. P. Bertsekas and A. {Nedi\'c} and A. Ozdaglar",
	title="Convex Analysis and Optimization",
	publisher="Athena Scientific",
	year=2003
}

@article{BesagJ75,
	author="J. Besag",
	title="Statistical Analysis of Non-Lattice Data",
	pages="179--195",
	journal="The Statistician",
	volume=24,
	number=3,
	year=1975
}

@inproceedings{BeygelzimerA2006icml,
	author="A. Beygelzimer and S. Kakade and J. Langford",
	title="Cover Trees for Nearest Neighbor",
	pages="97--104",
	booktitle=icml,
	address="Pittsburgh, Pennsylvania",
	year=2006
}

@inproceedings{BickelS2008icml,
	author="S. Bickel and J. Bogojeska and T. Lengauer and T. Scheffer",
	title="Multi-Task Learning for {HIV} Therapy Screening",
	booktitle=icml,
	address="Helsinki, Finland",
	year=2008
}

@incollection{BiedermanI90,
	author="I. Biederman",
	title="High-Level Vision",
	editor="D. N. Osherson and S. M. Kosslyn and J. M. Hollberbach",
	booktitle="Visual Cognition and Action: An Invitation to Cognitive Science",
	volume=2,
	publisher="MIT Press",
	address="Cambridge, MA",
	year=1990
}

@article{BienJ2011biometrika,
	author="J. Bien and R. Tibshirani",
	title="Sparse Estimation of a Covariance Matrix",
	pages="807--820",
	journal="Biometrika",
	volume=98,
	number=4,
	year=2011
}

@inproceedings{BillsusD98icml,
	author="D. Billsus and M. J. Pazzani",
	title="Learning Collaborative Information Filters",
	booktitle=icml,
	address="Madison, WI",
	year=1998
}

@article{Bingham2000ijns,
	author="E. Bingham and A. {Hyv\"arinen}",
	title="A Fast Fixed-Point Algorithm for Independent Component Analysis of Complex-Valued Signals",
	pages="1--8",
	journal=ijns,
	volume=10,
	number=1,
	year=2000
}

@book{BishopCM2006book,
	author="C. M. Bishop",
	title="Pattern Recognition and Machine Learning",
	publisher="Springer",
	year=2006
}

@article{BishopCM98neco,
	author="C. M. Bishop and M. Svens{\'e}n and C. K. I. Williams",
	title="{GTM}: The Generative Topographic Mapping",
	pages="215--234",
	journal=neco,
	volume=10,
	number=1,
	year=1998
}

@inproceedings{BishopCM1999icann,
	author="C. M. Bishop",
	title="Variational Principal Components",
	page="509--515",
	booktitle=icann,
	year=1999
}

@misc{Blake+Merz98,
	author="C. L. Blake and C. J. Merz",
	title="{UCI} Repository of Machine Learning Databases",
	url="http://www.ics.uci.edu/$\sim$mlearn/MLRepository.html",
	institution="University of California, Irvine, Dept. of Information and Computer Sciences",
	year=1998
}

@article{BlankertzB2004ieeetbme,
	author="B. Blankertz and K. {-R.} {M\"uller} and G. Curio and T. M. Vaughan and G. Schalk and J. R. Wolpaw and A. {Schl\"ogl} and C. Neuper and G. Pfurtscheller and T. Hinterberger and M. Schroder and N. Birbaumer",
	title="The {BCI} competition 2003: Progress and Perspectives in Detection and Discrimination of {EEG} Single Trials",
	journal=ieeetbme,
	volume=51,
	number=6,
	year=2004
}

@article{BleiDM2003jmlr,
	author="D. M. Blei and A. Ng and M. I. Jordan",
	title="Latent {Dirichlet} Allocation",
	pages="993--1022",
	journal=jmlr,
	volume=3,
	year=2003
}

@inproceedings{BleiDM2003sigir,
	author="D. M. Blei and M. I. Jordan",
	title="Modeling Annotated Data",
	booktitle=sigir,
	address="Toronto, Canada",
	year=2003
}

@inproceedings{BleiDM2005nips,
	author="D. M. Blei and J. D. Lafferty",
	title="Correlated Topic Models",
	booktitle=nips,
	volume=18,
	year=2006
}

@article{BleiDM2006ba,
	author="D. M. Blei and M. I. Jordan",
	title="Variational Inference for {Dirichlet} Process Mixtures",
	pages="121--144",
	journal="Bayesian Analysis",
	volume=1,
	number=1,
	year=2006
}

@inproceedings{BleiDM2007nips,
	author="D. M. Blei and J. D. {McAuliffe}",
	title="Supervised Topic Models",
	booktitle=nips,
	volume=20,
	year=2008
}

@article{BleiDM2012cacm,
	author="D. M. Blei",
	title="Probabilistic Topic Models",
	pages="77--84",
	journal=cacm,
	volume=55,
	number=4,
	year=2012
}

@inproceedings{BlumA98colt,
	author="A. Blum and T. Mitchell",
	title="Combining Labeled and Unlabeled Data with Co-Training",
	booktitle=colt,
	address="Madison, WI",
	year=1998
}

@inproceedings{BlumA2001icml,
	author="A. Blum and S. Chawla",
	title="Learning from Labeled and Unlabeled Data using Graph Mincuts",
	booktitle=icml,
	address="Williamstown, MD",
	year=2001
}

@inproceedings{BlundellC2010uai,
	author="C. Blundell and Y. W. Teh and K. A. Heller",
	title="{Bayesian} Rose Trees",
	booktitle=uai,
	address="Catalina Island, CA",
	year=2010
}

@inproceedings{BlundellC2015icml,
	author="C. Blundell and J. Cornebise and K. Kavukcuoglu and D. Wierstra",
	title="Weight Uncertainty in Neural Networks",
	booktitle=icml,
	address="Lille, France",
	year=2015
}

@article{BollSF79ieeetassp,
	author="S. F. Boll",
	title="Suppression of Acoustic Noise in Speech Using Spectral Subtraction",
	pages="113--120",
	journal=ieeetassp,
	volume=27,
	year=1979
}

@book{Bollobas94book,
	author="B. {Bollob\'as}",
	title="Modern Graph Theory",
	publisher="Springer",
	year=1998
}

@article{BohningD92aism,
	author="D. {B\"ohning}",
	title="Multinomial Logistic Regression Algorithm",
	journal="Annals of the Institute of Statistical Mathematics",
	volume=44,
	number=1,
	pages="197--200",
	year=1992
}

@inproceedings{BonillaEV2007neurips,
	author="E. V. Bonilla and K. M. A. Chai and C. K. I. Williams",
	title="Multi-Task {Gaussian} Process Prediction",
	booktitle=neurips,
	volume=20,
	year=2007,
	pages="153--160",
	address=venue-neurips-2007
}

@book{BorgI2005book,
	author="I. Borg and P. J. F. Groenen",
	title="Modern Multidimensional Scaling: Theory and Applications",
	edition=2,
	publisher="Springer",
	year=2005
}

@inproceedings{BornS2007ecml,
	author="S. {B\"orn} and J. Garcke",
	title="Approximating {Gaussian} Processes with {$\mathcal{H}^2$}-Matrices",
	pages="42--53",
	booktitle=ecml,
	address="Warsaw, Poland",
	publisher="Springer",
	year=2007
}

@incollection{BottouL98,
	author="L. Bottou",
	title="Online Algorithms and Stochastic Approximations",
	editor="D. Saad",
	booktitle="Online Learning and Neural Networks",
	publisher="Cambridge University Press",
	address="Cambridge, UK",
	url="http://leon.bottou.org/papers/bottou-98x",
	year=1998
}

@incollection{BottouL2004mlss,
	author="L. Bottou",
	title="Stochastic Learning",
	editor="O. Bousquet and U. {von Luxburg}",
	booktitle="Advanced Lectures on Machine Learning",
	pages="146--168",
	publisher="Springer Verlag",
	url="http://leon.bottou.org/papers/bottou-mlss-2004",
	year=2004
}

@inproceedings{BouchardG2007nips,
	author="G. Bouchard",
	title="Efficient Bounds for the Softmax Function, Applications to Inference in Hybrid Models",
	booktitle="Proceedings of the NIPS Workshop on Approximate Bayesian Inference in Continuous/Hybrid Systems",
	year=2007
}

@inproceedings{BouchardG2013aistats,
	author="G. Bouchard and S. Guo and D. Yin",
	title="Convex Collective Matrix Factorization",
	booktitle=aistats,
	address="Scottsdale, AZ, USA",
	year=2013,
}

@incollection{BoucheronS2004alml,
	author="S. Boucheron and O. Bousquet and G. Lugosi",
	title="Concentration Inequalities",
	pages="208--240",
	editor="O. Bousquet and U. V. Luxburg and G. R{\"a}tsch",
	booktitle="Advanced Lectures in Machine Learning",
	publisher="Springer",
	year=2004
}

@article{BoutellMR2004pr,
	author="M. R. Boutell and J. Luo and X. Shen and C. M. Brown",
	title="Learning Multi-Label Scene Classification",
	pages="1757--1771",
	journal=pr,
	volume=37,
	number=9,
	year=2004
}

@book{BoxTiao,
	author="G. E. P. Box and G. C. Tiao",
	title="Bayesian Inference in Statistical Analysis",
	publisher="John Wiley and Sons, Inc.",
	year=1992
}

@book{BoydS2004book,
	author="S. Boyd and L. Vandenberghe",
	title="Convex Optimization",
	publisher="Cambridge University Press",
	year=2004
}

@article{BoydS2007oe,
	author="S. Boyd and S. -J. Kim and L. Vandenberghe and A. Hassibi",
	title="A Tutorial on Geometric Programming",
	pages="67--127",
	journal="Optimization and Engineering",
	volume=8,
	number=1,
	year=2007
}

@misc{BoydS2007note,
	author="S. Boyd and A. Mutapcic",
	title="Subgradient Methods",
	note="{Lecture Notes} for Winter 2006-07, Stanford University",
	year=2007
}

@article{BoykovY2001ieeetpami,
	author="Y. Boykov and O. Veksler and R. Zabih",
	title="Fast Approximate Energy Minimization via Graph Cuts",
	pages="1222--1239",
	journal=ieeetpami,
	volume=23,
	number=11 ,
	year=2001
}

@article{BradelyRA52biometrika,
	author="R. A. Bradley and M. E. Terry",
	title="Rank Analysis of Incomplete Block Designs: The Method of Paired Comparisons",
	pages="324--345",
	journal="Biometrika",
	volume=39,
	year=1952
}

@article{BrandM99nc,
	author="M. Brand",
	title="Structure Learning in Conditional Probability Models via an Entropic Prior and Parameter Extinction",
	pages="1155--1182",
	journal=nc,
	volume=11,
	number=5,
	year=1999
}

@inproceedings{BrandM2002nips,
	author="M. Brand",
	title="Charting a Manifold",
	booktitle=nips,
	volume=15,
	year=2003
}

@inproceedings{BrandesU2006isgd,
	author="U. Brandes and C. Pich",
	title="Eigensolver Methods for Progressive Multidimensional Scaling of Large Data",
	booktitle="Proceedings of the 14th International Symposium on Graph Drawing",
	address="Karlsruhe, Germany",
	year=2006
}

@article{BradleyAP97pr,
	author="A. P. Bradley",
	title="The Use of the Area under the {ROC} Curve in the Evaluation of Machine Learning Algorithms",
	pages="1145--1159",
	journal=pr,
	volume=30,
	year=2007
}

@article{BraunsteinLA2003prl,
	author="L. A. Braunstein and S. V. Buldyrev and R. Cohen and S. Havlin and H. E. Stanley",
	title="Optimal Paths in Disordered Complex Networks",
	journal="Physics Review Letters",
	volume=91,
	number=16,
	year=2003
}

@inproceedings{BreeseJS98uai,
	author="J. S. Breese and D. Heckerman and C. Kadie",
	title="Empirical Analysis of Predictive Algorithms for Collaborative Filtering",
	booktitle=uai,
	address="Madison, WI",
	year=1998
}

@inproceedings{BrefeldU2003ecml,
	author="U. Brefeld and P. Geibel and F. Wysotzki",
	title="Support Vector Machines with Example Dependent Costs",
	pages="492--502",
	booktitle=ecml,
	address="Cavtat-Dubrovnik, Croatia",
	year=2003
}

@article{Bregman67,
	author="L. M. Bregman",
	title="The Relaxation Method of Finding the Common Points of Convex Sets and its Application to the Solution of Problems in Convex Programming",
	pages="200--217",
	journal="USSR Computational Mathematics and Mathematical Physics",
	volume=7,
	year=1967
}

@inproceedings{Brennan98nnsp,
	author="V. Brennan and J. Principe",
	title="Face Classification Using a Multiresolution Principal Component Analysis",
	pages="506--515",
	booktitle="Neural Networks for Signal Processing VIII",
	editor="T. Constantinides and S. -Y. Kung and M. Niranjan and E. Wilson",
	year="1998"
}

@article{BreuH98cg,
	author="H. Breu and D. G. Kirkpatrick",
	title="Unit Disk Graph Recognition is {NP-hard}",
	pages="3--24",
	journal="Computational Geometry: Theory and Applications",
	volume=9,
	year=1998
}

@article{BrierGW50mwr,
	author="G. W. Brier",
	title="Verification of Forecasts Expressed in terms of Probability",
	pages="1--3",
	journal="Monthly Weather Review",
	volume=78,
	year=1950
}

@article{BrittonT2006jsp,
	author="T. Britton and M. Deijfen and A. {Martin-L\"of}",
	title="Generating Simple Random Graphs with Prescribed Degree Distribution",
	pages="1377--1397",
	journal="Journal of Statistical Physics",
	volume=124,
	number=6,
	year=2006
}

@article{BrixA99aap,
	author="A. Brix",
	title="Generalized {Gamma} Measures and Shot-Noise {Cox} Processes",
	pages="929--953",
	journal="Advances in Applied Probability",
	volume=31,
	year=1999
}

@article{BroR99Jchemo,
	author="R. Bro and S. D. Jong",
	title="A Fast Non-Negativity-Constrained Least Squares Algorithm",
	pages="393--401",
	journal="Journal of Chemometrics",
	volume=11,
	number=5,
	year=1997
}

@article{BrochuE2010arxiv,
	author="E. Brochu and V. M. Cora and N. {de Freitas}",
	title="A Tutorial on {Bayesian} Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning",
	journal="{arXiv} preprint {arXiv}:1012.2599",
	year=2010
}

@article{Brockett91laa,
	author="R. W. Brockett",
	title="Dynamical Systems that Sort Lists, Diagonalize Matrices, and Solve Linear Programming Problems",
	pages="79--91",
	journal="Linear Algebra and Applications",
	volume=146,
	year=1991
}

@inproceedings{BroderAZ97seqs,
	author="A. Z. Broder",
	title="On the Resemblance and Containment of Documents",
	booktitle="Compression and Complexity of Sequences (SEQUENCES'97)",
	year=1997
}

@article{BroderAZ2000jcss,
	author="A. Z. Broder and M. Charikar and A. M. Frieze and M. Mitzenmacher",
	title="Min-Wise Independent Permutations",
	pages="630--650",
	journal="Journal of Computer and System Sciences",
	volume=60,
	year=2000
}

@inproceedings{BroderickT2013nips,
	author="T. Broderick and N. Boyd and A. Wibisono and A. C. Wilson and M. I. Jordan",
	title="Streaming Variational {Bayes}",
	booktitle=nips,
	volume=26,
	year=2013
}

@inproceedings{BromleyJ1993neurips,
	author="J. Bromley and I. Guyon and Y. {LeCun} and E. {S\"ackinger} and R. Shah",
	title="Signature Verification using a {``Siamese"} Time Delay Neural Network",
	booktitle=neurips,
	volume=6,
	year=1993,
	pages="737--744",
	address=venue-neurips-1993
}

@misc{BrookesM2005misc,
	author="M. Brookes",
	title="The Matrix Reference Manual",
	note="[online] http://www.ee.ic.ac.uk/hp/staff/dmb/ matrix/intro.html",
	year=2005
}

@article{BrownJC2004jasa,
	author="J. C. Brown and P. Smaragdis",
	title="Independent Component Analysis for Automatic Note Extraction from Musical Trills",
	pages="2295--2306",
	journal="Journal of Acoustical Society of America",
	volume=115,
	number=5,
	year=2004
}

@article{Brunelli93ieeetpami,
	author="R. Brunelli and T. Poggio",
	title="Face Recognition: Features vs. Templates",
	pages="1042--1052",
	journal=ieeetpami,
	volume=15,
	number=10,
	month="Oct.",
	year=1993
}

@article{BurerS2005mp,
	author="S. Burer and R. D. C. Monteiro",
	title="Local Minima and Convergence in Low-Rank Semidefinite Programming",
	pages="427--444",
	journal="Mathematical Programming: Series A",
	volume=103,
	issue=3,
	year=2005
}

@article{Brunet2004pnas,
	author="J. {-P.} Brunet and P. Tamayo and T. R. Golub and J. P. Mesirov",
	title="Metagenes and Molecular Pattern Discovery Using Matrix Factorization",
	pages="4164--4169",
	journal=pnas,
	volume=101,
	number=12,
	year=2004
}

@article{BruynoogheM78,
	author="M. Bruynooghe",
	title="Classification ascendante hi{\'e}rarchique, des grands ensembles de donn{\'e}es: un algorithme rapide fond{\'e} sur la construction des voisinages r{\'e}ductibles",
	pages="7--33",
	journal="Les Cahiers de l'Analyse de Donn{\'e}es",
	volume=3,
	year=1978
}

@inproceedings{BucakSS2007iceis,
	author="S. S. Bucak and B. Gunsel and O. Gursoy",
	title="Incremental Non-Negative Matrix Factorization for Dynamic Background Modeling",
	booktitle="Proceedings of the International Workshop on Pattern Recognition in Information Systems",
	address="Funchal, Portugal",
	year=2007
}

@inproceedings{BuchananAM2005cvpr,
	author="A. M. Buchanan and A. W. Fitzgibbon",
	title="Damped {Newton} Algorithm for Matrix Factorization with Missing Data",
	booktitle=cvpr,
	address="San Diego, California",
	year=2005
}

@inproceedings{BurgesC2005icml,
	author="C. Burges and T. Shaked and E. Renshaw and A. Lazier and M. Deeds and N. Hamilton and G. Hullender",
	title="Learning to Rank using Gradient Descent",
	pages="89--96",
	booktitle=icml,
	address="Bonn, Germany",
	year=2005
}

@article{Buntine96ieeekde,
	author="W. Buntine",
	title="A Guide to the Literature on Learning Graphical Models",
	pages="195--210",
	journal="IEEE Transactions on Knowledge and Data Engineering",
	volume=8,
	year=1996
}

@inproceedings{BurdaY2016iclr,
	author="Y. Burda and R. Grosse and R. Salakhutdinov",
	title="Importance Weighted Autoencoders",
	booktitle=iclr,
	address="San Juan, Puerto Rico",
	year=2016
}

@article{ByrdRH94mp,
	author="R. H. Byrd and J. Nocedal and R. B. Schnabel",
	title="Representations of Quasi-{Newton} Matrices and their Use in Limited-Memory Methods",
	pages="129--156",
	journal="Mathematical Programming",
	volume=63,
	number=4,
	year=1994
}

@inproceedings{CaiD2007cikm,
	author="D. Cai and X. He and W. V. Zhang and J. Han",
	title="Regularized Locality Preserving Indexing via Spectral Regression",
	booktitle=cikm,
	pages="741--750",
	year=2007
}

@inproceedings{CaiD2007iccv,
	author="D. Cai and X. He and J. Han",
	title="Semi-Supervised Discriminant Analysis",
	booktitle=iccv,
	address="Rio de Janeiro, Brazil",
	year=2007
}

@inproceedings{CaiD2007icdm,
	author="D. Cai and X. He and J. Han",
	title="Efficient Kernel Discriminant Analysis via Spetral Regression",
	pages="427--432",
	booktitle=icdm,
	address="Omaha, NE, USA",
	year=2007
}

@inproceedings{CaiD2008icdm,
	author="D. Cai and X. He and X. Wu and J. Han",
	title="Non-Negative Matrix Factorization on Manifold",
	booktitle=icdm,
	address="Pisa, Italy",
	pages="63--72",
	year=2008
}

@inproceedings{CaiD2009icml,
	author="D. Cai and X. Wang and X. He",
	title="Probabilistic Dyadic Data Analysis with Local and Global Consistency",
	booktitle=icml,
	address="Montreal, Canada",
	pages="105--112",
	year=2009
}

@inproceedings{CaiX2011cvpr,
	author="X. Cai and F. Nie and H. Huang and F. Kamangar",
	title="Heterogeneous Image Feature Integration via Multi-Modal Spectral Clustering",
	booktitle=cvpr,
	address="Colorado Springs, CO",
	year=2011
}

@article{Cailliez83,
	author="F. Cailliez",
	title="The Analytical Solution of the Additive Constant Problem",
	pages="305--308",
	journal="Psychometrika",
	volume=48,
	number=2,
	year=1983
}

@article{CalvettiD94etna,
	author="D. Calvetti and L. Reichel and D. C. Sorensen",
	title="An Implicitly Restarted {Lanczos} Method for Large Symmetric Eigenvalue Problems",
	journal="Electronic Transactions on Numerical Analysis",
	volume=2,
	pages="1--21",
	year=1994
}

@article{CamastraF2005ieeetpami,
	author="F. Camastra and A. Veri",
	title="A Novel Kernel Method for Clustering",
	pages="801--805",
	journal=ieeetpami,
	volume=27,
	number=5,
	year=2005
}

@article{CampbellDR2005cisj,
	author="D. R. Campbell and K. J. Palomaki and G. J. Brown",
	title="A {MATLAB} Simulation of {"Shoebox"} Room Acoustics for Use in Research and Teaching",
	journal="Computing and Information Systems Journal",
	volume=9,
	number=3,
	year=2005
}

@article{CandesE2005ieeetit,
	author="E. Candes and T. Tao",
	title="Decoding by Linear Programming",
	pages="4203--4215",
	journal=ieeetit,
	volume=51,
	number=12,
	year=2005
}

@article{CandesE2006ieeetit,
	author="E. Candes and T. Tao",
	title="Near Optimal Signal Recovery from Random Projections: Universal Encoding Strategies?",
	journal=ieeetit,
	volume=52,
	number=12,
	pages="5406--5425",
	year=2006
}

@article{CandesE2006ip,
	author="E. Cand{\`e}s and J. Romberg",
	title="Sparsity and Incoherence in Compressive Sampling",
	journal="Inversse Problems",
	volume=23,
	number=3,
	pages="969--985",
	year=2007
}

@article{CandesE2008crm,
	author="E. Cand{\`e}s",
	title="The Restricted Isometry Property and its Implications for Compressed Sensing",
	journal="Comptes Rendus Mathematique",
	volume=346,
	number="9-10",
	pages="589--592",
	year=2008
}

@article{CandesE2009ieeetit,
	author="E. Cand{\`e}s and T. Tao",
	title="The Power of Convex Relaxation: Near-Optimal Matrix Completion",
	pages="2053--2080",
	journal=ieeetit,
	volume=56,
	number=5,
	year=2009
}

@inproceedings{Cao95nolta,
	author="J. Zhu and X. -R. Cao and R. Liu",
	title="Blind Source Separation Based on Output Independence - Theory and Implementation",
	pages="97--102",
	booktitle="Proceedings of NOLTA",
	year=1995
}

@inproceedings{CaoB2007ijcai,
	author="B. Cao and D. Shen and J. {-T}. Sun and X. Wang and Q. Yang and Z. Chen",
	title="Detect and Track Latent Factors with Online Nonnegative Matrix Factorization",
	booktitle=ijcai,
	address="Hyderabad, India",
	year=2007
}

@inproceedings{CaoL2007iccv,
	author="L. Cao and L. Fei-Fei",
	title="Spatially Coherent Latent Topic Model for Concurrent Segmentation and Classification of Objects and Scenes",
	booktitle=iccv,
	address="Rio de Janeiro, Brazil",
	year=2007
}

@inproceedings{CaoY2006sigir,
	author="Y. Cao and J. Xu and T. -Y. Liu and H. Li and Y. Huang and H. -W. Hon",
	title="Adapting Ranking {SVM} to Document Retrieval",
	pages="186--193",
	booktitle=sigir,
	address="Seattle, Washington",
	year=2006
}

@inproceedings{CarbonettoP2008nips,
	author="P. Carbonetto and M. Schmidt and N. {de Freitas}",
	title="An Interior-Point Stochastic Approximation Method and an {L1}-Regularized Delta Rule",
	booktitle=nips,
	volume=21,
	publisher="MIT Press",
	year=2009,
}

@inproceedings{Cardoso89icassp,
	author="J. {-F}. Cardoso",
	title="Source Separation Using Higher-order Moments",
	booktitle=icassp,
	year=1989
}

@article{Cardoso96siam,
	author="J. {-F.} Cardoso",
	title="Jacobi Angles for Simultaneous Diagonalization",
	pages="161--164",
	journal="{SIAM} J. Mat. Anal. Appl.",
	volume=17,
	number=1,
	year=1996
}

@article{Cardoso96ieeetsp,
	author="J. {-F}. Cardoso and B. H. Laheld",
	title="Equivariant Adaptive Source Separation",
	pages="3017--3030",
	journal=ieeetsp,
	volume=44,
	number=12,
	month="Dec.",
	year=1996
}

@article{Cardoso97ieeespl,
	author="J. {-F}. Cardoso",
	title="Infomax and Maximum Likelihood for Source Separation",
	pages="112--114",
	journal=ieeespl,
	volume=4 ,
	number=4,
	month="Apr.",
	year=1997
}

@inproceedings{Cardoso98icassp,
	author="J. {-F}. Cardoso",
	title="Multidimensional Independent Component Analysis",
	booktitle=icassp,
	address="Seattle, WA",
	year=1998
}

@inproceedings{Cardoso98nnsp,
	author="J. {-F}. Cardoso",
	title="On the Stability of Source Separation Algorithms",
	pages="13--22",
	booktitle="Neural Networks for Signal Processing VIII",
	editor="T. Constantinides and S. -Y. Kung and M. Niranjan and E. Wilson",
	year=1998
}

@article{Cardoso98procieee,
	author="J. {-F}. Cardoso",
	title="Blind Signal Separation: Statistical Principles",
	pages="2009--2025",
	journal="Proceedings of of the IEEE, Special Issue on Blind Identification and Estimation",
	editor="R. Liu and L. Tong",
	volume=86,
	number=10,
	month="Oct.",
	year=1998
}

@inproceedings{Cardoso98ssap,
	author="J. {-F}. Cardoso",
	title="Learning in Manifolds: The Case of Source Separation",
	booktitle="Proceedings of SSAP",
	address="Portland, Oregon",
	year=1998
}

@article{Cardoso99nc,
	author="J. {-F}. Cardoso",
	title="High-order Contrasts for Independent Component Analysis",
	pages="157--192",
	journal=nc,
	volume=11,
	number=1,
	year="Jan. 1999"
}

@inproceedings{CarneiroG2005cvpr,
	author="G. Carneiro and N. Vasconcelos",
	title="Formulating Semantic Image Annotation as a Supervised Learning Problem",
	booktitle=cvpr,
	address="San Diego, CA, USA",
	year=2005
}

@inproceedings{CaronF2007uai,
	author="F. Caron and M. Davy and A. Doucet",
	title="Generalized {Polya} Urn for Time-Varying {Dirichlet} Process Mixtures",
	booktitle=uai,
	year=2007
}

@inproceedings{CaronF2012nips,
	author="F. Caron",
	title="{Bayesian} Nonparametric Models for Bipartite Graphs",
	booktitle=nips,
	volume=25,
	year=2012
}

@article{CarrollJD70psy,
	author="J. D. Carroll and J. J. Chang",
	title="Analysis of Individual Differences in Multidimensional Scaling via an {N}-Way Generalization of {'Eckart-Young'} Decomposition",
	pages="283--319",
	journal="Psychometrika",
	volume=35,
	year=1970
}

@article{CarrollJD95psy,
	author="J. D. Carroll",
	title="Minimax Length Links of a Dissimilarity Matrix and Minimum Spanning Trees",
	pages="371--374",
	journal="Psychometrika",
	volume=60,
	year=1995
}

@article{CasellaG96biometrika,
	author="G. Casella and C. P. Robert",
	title="{Rao-Blackwellisation} of Sampling Schemes",
	pages="81--94",
	journal="Biometrika",
	volume=83,
	number=1,
	year=1996
}

@inproceedings{CaseyM2001eurospeech,
	author="M. Casey",
	title="Reduced-Rank Spectra and Minimum-Entropy Priors as Consistent and Reliable Cues for Generalized Sound Recognition",
	booktitle="Proceedings of Workshop on Consistent and Reliable Acoustic Cues for Sound Analysis, Eurospeech",
	address="Aalborg, Denmark",
	year=2001
}

@incollection{CaseyM2001,
	author="M. Casey",
	title="Sound Classification and Similarity Tools",
	editor="B. S. Manjunath and P. Salembier and T. Sikora",
	booktitle="Introduction to MPEG-7: Multimedia Content Description Language",
	publisher="John Wiley \& Sons, Inc.",
	year=2001
}

@techreport{CaseyM2001tr,
	author="M. Casey",
	title="Separation of Mixed Audio Sources by Independent Subspace Analysis",
	number="31",
	institution="Mitsubishi Electrical Research Laboratory",
	year=2001
}

@article{Castedo97ieeetsp,
	author="L. Castedo and C. J. Escudero and A. Dapena",
	title="A Blind Signal Separation Method for Multiuser Communications",
	pages="1343--1348",
	journal=ieeetsp,
	volume=45,
	year=1997
}

@inproceedings{CBCL,
	author="B. Weyrauch and J. Huang and B. Heisele and V. Blanz",
	title="Component-Based Face Recognition with {3D} Morphable Models",
	booktitle="Proceedings of First IEEE Workshop on Face Processing in Video",
	address="Washington, D.C.",
	year=2004
}

@article{Celeux2003pr,
	author="G. Celeux and F. Forbes and N. Peyrard",
	title="{EM} Procedures Using Mean Field-Like Approximations for {Markov} Model-Based Image Segmentation",
	pages="131--144",
	journal="Pattern Recognition",
	volume=36,
	year=2003
}

@article{CemgilAT2009cin,
	author="A. T. Cemgil",
	title="Bayesian Inference for Nonnegative Matrix Factorization Models",
	journal="Computational Intelligence and Neuroscience",
	year=2009
}

@inproceedings{Cesa-BianchiN2006icml,
	author="N. {Cesa-Bianchi} and C. Gentile and L. Zaniboni",
	title="Hierarchical Classification: Combining {Bayes} with {SVM}",
	pages="177--184",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@article{Cesa-BianchiN2006jmlr,
	author="N. {Cesa-Bianchi} and C. Gentile and L. Zaniboni",
	title="Incremental Algorithms for Hierarchical Classification",
	pages="31--54",
	journal=jmlr,
	volume=7,
	year=2006
}

@inproceedings{ChaY2012sigir,
	author="Y. Cha and J. Cho",
	title="Social Network Analysis using Topic Models",
	booktitle=sigir,
	address="Portland, Oregon, USA",
	year=2012
}

@inproceedings{ChakrabartiD2006kdd,
	author="D. Chakrabarti and R. Kumar and A. Tomkins",
	title="Evolutionary Clustering",
	booktitle=kdd,
	address="Philadelphia, PA",
	year=2006
}

@inproceedings{ChanDCB96nips,
	author="D. C. B.  Chan and S. J. Godsill and P. J. W. Rayner",
	title="Blind Signal Separation by Output Decorrelation",
	booktitle=nipsworkshop-blind,
	address="Snowmass, Colorado",
	year=1996
}

@article{ChandolaV2009acmcsur,
	author="V. Chandola and A. Banerjee and V. Kumar",
	title="Anomaly Detection: A Survey",
	journal="ACM Computing Surveys",
	volume=41,
	number=3,
	year=2009
}

@article{ChangC2000ieeetsp,
	author="C. Chang and Z. Ding and S. F. Yau and F. H. Y. Chan",
	title="A Matrix-Pencil Approach to Blind Separation of Colored Nonstationary Signals",
	pages="900--907",
	journal=ieeetsp,
	volume=48,
	number=3,
	month="Mar.",
	year=2000
}

@misc{ChangCC2001,
	author="C. -C. Chang and C. -J. Lin",
	title="{LIBSVM}: A Library for Support Vector Machines",
	url="http://www.csie.ntu.edu.tw/~cjlin/libsvm",
	year=2001,
}

@inproceedings{ChangH2004icml,
	author="H. Chang and D. Y. Yeung",
	title="Locally Linear Metric Adaptation for Semi-Supervised Clustering",
	booktitle=icml,
	pages="153--160",
	year=2004
}

@inproceedings{ChangJ2009aistats,
	author="J. Chang and D. M. Blei",
	title="Relational Topic Models for Document Networks",
	booktitle=aistats,
	address="Clearwater Beach, Florida, USA",
	year=2009
}

@article{ChangJ2010aas,
	author="J. Chang and D. M. Blei",
	title="Hierarchical Relational Models for Document Networks",
	pages="124--150",
	journal="The Annals of Applied Statistics",
	volume=4,
	number=1,
	year=2010
}

@inproceedings{ChapelleO2002nips,
	author="O. Chapelle and J. Weston and B. Sch{\"o}lkopf",
	title="Cluster Kernels for Semi-Supervised Learning",
	booktitle=nips,
	volume=15,
	publisher="MIT Press",
	year=2003
}

@book{ChapelleO2006book,
	author="O. Chapelle and B. Sch{\"o}lkopf and A.Zien",
	title="Semi-Supervised Learning",
	publisher="MIT Press",
	year=2006
}

@inproceedings{CharikarMS2002stoc,
	author="M. S. Charikar",
	title="Similarity Estimation Techniques from Rounding Algorithms",
	booktitle=stoc,
	year=2002
}

@inproceedings{Charkani97esann,
	author="N. Charkani and Y. Deville",
	title="Optimization of the Asymptotic Performance of Time-domain Convolutive Source Separation Algorithms",
	booktitle=esann,
	pages="273--278",
	address="Bruges, Belgium",
	year=1997
}

@article{Charkani99sp,
	author="N. Charkani and Y. Deville",
	title="Self-adaptive Separation of Convolutively Mixed Signals with a Recursive Structure - Part {I}: Stability Analysis and Optimization of Asymptotic Behaviour",
	pages="255--266",
	journal=sp,
	volume=73,
	number=3,
	year=1999
}

@article{Charles98network,
	author="D. Charles and C. Fyfe",
	title="Modelling Multiple Cause Structure Using Rectification Constraints",
	pages="167--182",
	journal=network,
	volume=9,
	year=1998
}

@inproceedings{ChatzisS2014aaai,
	author="S. P. Chatzis",
	title="Echo-State Conditional Restricted {Boltzmann} Machines",
	booktitle=aaai,
	address="Qu{\'e}bec, Canada",
	year=2014
}

@article{ChavarriagaR2013prl,
	author="R. Chavarriaga and H. Sagha and A. Calatroni and S. T. Digumarti and G. Tr{\"o}ster and J. {del. R. Mill{\'a}n} and D. Roggen",
	title="The Opportunity Challenge: A Benchmark Database for On-Body Sensor-Based Activity Recognition",
	pages="2033--2042",
	journal=prl,
	volume=34,
	year=2013
}

@article{ChebotarevP2011dam,
	author="P. Chebotarev",
	title="A Class of Graph-Geodetic Distances Generalizing the Shortest-Path and the Resistance Distances",
	pages="295--302",
	journal="Discrete Applied Mathematics",
	volume=159,
	number=5,
	year=2011
}

@inproceedings{ChechikG2002nips,
	author="G. Chechik and N. Tishby",
	title="Extracting Relevant Structures with Side Information",
	booktitle=nips,
	volume=15,
	publisher="MIT Press",
	year=2003
}

@inproceedings{ChenAYC2010wnyipw,
	author="A. Y. C. Chen and J. J. Corso",
	title="Propagating Multi-Class Pixel Labels throughout Video Frames",
	booktitle="Proceedings of Western New York Image Processing Workshop",
	year=2010
}

@inproceedings{ChenC2012icml,
	author="C. Chen and N. Ding and W. Buntine",
	title="Dependent Hierarchical Normalized Random Measures for Dynamic Topic Modeling",
	booktitle=icml,
	address="Edinburgh, UK",
	year=2012
}

@inproceedings{ChenC2013icml,
	author="C. Chen and V. Rao and W. Buntine and Y. W. Teh",
	title="Dependent Normalized Random Measures",
	booktitle=icml,
	address="Atlanta, Georgia, USA",
	year=2013
}

@inproceedings{ChenC2013icmlsupp,
	author="C. Chen and V. Rao and W. Buntine and Y. W. Teh",
	title="Supplementary Material for Dependent Normalized Random Measures",
	booktitle=icml,
	address="Atlanta, Georgia, USA",
	year=2013
}

@inproceedings{ChenK2011neurips,
	title="Extracting speaker-specific information with a regularized {Siamese} deep network",
	author="K. Chen and A. Salman",
	booktitle=neurips,
	pages="298--306",
	volume=24,
	year=2011,
	address=venue-neurips-2011
}

@inproceedings{ChenN2010nips,
	author="N. Chen and J. Zhu and E. P. Xing",
	title="Predictive Subspace Learning for Multi-View Data: A Large Margin Approach",
	booktitle=nips,
	volume=23,
	publisher="MIT Press",
	year=2010
}

@article{ChenSS98siamjsc,
	author="S. S. Chen and D. L. Donoho and M. A. Saunders",
	title="Atomic Decomposition by Bais Pursuit",
	pages="33--61",
	journal=siamjsc,
	volume=20,
	number=1,
	year=1998
}

@article{ChenY2004jmlr,
	author="Y. Chen and J. Z. Wang",
	title="Image Categorization by Learning and Reasoning with Regions",
	pages="913--939",
	journal=jmlr,
	volume=5,
	year=2004
}

@article{ChenY2005ieeetpami,
	author="Y. Chen and J. Bi and J.Z. Wang",
	title="{MILES}: Multiple-Instance Learning via Embedded Instance Selection",
	pages="1931--1947",
	journal=ieeetpami,
	volume=28,
	year=2005
}

@article{ChenY2008kis,
	author="Y. Chen and M. Rege and M. Dong and J. Hua",
	title="Non-Negative Matrix Factorization for Semi-Supervised Data Clustering",
	pages="355--379",
	journal="Knowledge and Information Systems",
	volume=17,
	year=2008
}

@inproceedings{ChenY2017icml,
	author="Y. Chen and M. W. Hoffman and S. G. Colmenarejo and M. Denil and T. P. Lillicrap and M. Botvinick and N. {de Freitas}",
	title="Learning to Learn without Gradient Descent by Gradient Descent",
	booktitle=icml,
	address="Sydney, Austrailia",
	pages="748--756",
	year=2017
}

@article{Cherry53,
	author="E. C. Cherry",
	title="Some Experiments on the Recognition of Speech, with One and with Two Ears",
	pages="975--979",
	journal=jasa,
	volume=25,
	year=1953
}

@inproceedings{CheungYM2001icme,
	author="Y. -M. Cheung",
	title="Dual Auto-Regressive Modelling Approach to {Gaussian} Process Identification",
	pages="1256--1259",
	booktitle="Proceedings of IEEE International Conference on Multimedia and Expo",
	year=2001
}

@inproceedings{CheungPM2006icml,
	author="P. -M. Cheung and J. T. Kwok",
	title="A Regularization Framework for Multiple-Instance Learning",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@book{ChiangLH2001book,
	author="L. H. Chiang and E. L. Russell and R. D. Braatz",
	title="Fault Detection and Diagnosis in Industrial Systems",
	publisher="Springer",
	year=2001
}

@article{Chickering97ml,
	author="D. M. Chickering and D. Heckerman",
	title="Efficient Approximations for the Marginal Likelihood of {Bayesian} Networks with Hidden Variables",
	pages="181--212",
	journal="Machine Learning",
	volume=29,
	year=1997
}

@article{ChinTJ2007ieeetip,
	author="T. -J. Chin and D. Suter",
	title="Incremental Kernel Principal Component Analysis",
	pages="1662--1674",
	journal=ieeetip,
	volume=16,
	number=6,
	year=2007
}

@inproceedings{ChenG2007icdm,
	author="G. Chen and F. Wang and C. Zhang",
	title="Collaborative Filtering Using Orthogonal Nonnegative Tri-Factorization",
	booktitle=icdm,
	address="Omaha, NE",
	year=2007
}

@article{ChenJ2009jmlr,
	author="J. Chen and H. -R. Fang and Y. Saad",
	title="Fast Approximate {$k$NN} Graph Construction for High Dimensional Data via Recursive {Lanczos} Bisection",
	pages="1989--2012",
	journal=jmlr,
	volume=10,
	year=2009
}

@inproceedings{ChenT2013icml,
	author="T. Chen and H. Li and Q. Yang and Y. Yu",
	title="General Functional Matrix Factorization Using Gradient Boosting",
	booktitle=icml,
	address="Atlanta, Georgia, USA",
	year=2013
}

@article{Chernoff52ams,
	author="H. Chernoff",
	title="A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on a Sum of Observations",
	pages="493--507",
	journal=ams,
	volume=23,
	number=4,
	year=1952
}

@inproceedings{ChiY2007kdd,
	author="Y. Chi and X. Song and D. Zhou and K. Hino",
	title="Evolutionary Spectral Clustering by Incorporating Temporal Smoothness",
	booktitle=kdd,
	address="San Jose, CA",
	year=2007
}

@inproceedings{ChoSJ2004iwfhr,
	author="S. -J. Cho and J. K. Oh and W. -C. Bang and W. Chang and E. Choi and Y. Jing and J. Cho and D. Y. Kim",
	title="{Magic Wand}: A Hand-Drawn Gesture Input Device in 3-D Space with Inertial Sensors",
	pages="106--111",
	booktitle="Proceedings of the International Workshop on Frontiers in Handwriting Recognition",
	year=2004
}

@inproceedings{ChoYC2003isspit,
	author="Y. {-C.} Cho and S. Choi and S. {-Y}. Bang",
	title="Nonnegative Component Parts of Sound for Classification",
	booktitle="Proceedings of IEEE ISSPIT",
	address="Darmstadt, Germany",
	year=2003
}

@inproceedings{ChoYC2004icslp,
	author="Y. {-C.} Cho and S. Choi",
	title="Learning Nonnegative Features of Spectro-Temporal Sounds for Classfication",
	booktitle=icslp,
	address="Jeju Island, Korea",
	year=2004
}

@article{ChoYC2005prl,
	author="Y. {-C.} Cho and S. Choi",
	title="Nonnegative Features of Spectro-Temporal Sounds for Classfication",
	pages="1327--1336",
	journal=prl,
	volume=26,
	number=9,
	year=2005
}

@inproceedings{Choi94spie,
	author="S. Choi and  R. R. Schultz and  R. L. Stevenson and Y. F. Huang  and R. Liu",
	title="Contrast Enhancement of Missile Data through Image Sequence Stabilization and Product Correlation",
	booktitle=spie,
	address="San Jose, California",
	year=1994
}

@article{Choi95opteng,
	author="S. Choi and  R. R. Schultz and  R. L. Stevenson and Y. F. Huang  and R. Liu",
	title="Contrast Enhancement of Missile Video Sequences via Image Stabilization and Product Correlation",
	pages="3495--3507",
	journal=opteng,
	volume=34,
	year=1995
}

@inproceedings{Choi96mwscas,
	author="S. Choi and R. Liu",
	title="Two-stage Neural Network for Blind Sources Separation",
	pages="827--830",
	booktitle=mwscas,
	address="Ames, Iowa",
	year=1996
}

@inproceedings{Choi96nips,
	author="S. Choi and R. Liu",
	title="A Direct Adaptive Blind Equalizer for Multi-channel Transmission",
	booktitle=nipsworkshop-blind,
	address="Snowmass, Colorado",
	year=1996
}

@inproceedings{Choi97spawc,
	author="S. Choi and  H. Luo and R. Liu",
	title="An Adaptive System for Direct Multi-channel Blind Equalization",
	pages="85--88",
	booktitle=spawc,
	address="Paris, France",
	year=1997
}


@inproceedings{Choi97esann,
	author="S. Choi and R. Liu",
	title="A Learning Algorithm for the Separation of Non-zero Skewness Signals with No Spurious Equilibria",
	pages="249--254",
	booktitle=esann,
	address="Bruges, Belgium",
	year=1997
}

@inproceedings{Choi97icsp,
	author="S. Choi and A. Cichocki",
	title="Adaptive Blind Separation of Speech Signals: Cocktail Party Problem",
	pages="617--622",
	booktitle=icsp,
	year=1997
}


@inproceedings{Choi97hos,
	author="S. Choi and A. Cichocki",
	title="A Linear Feedforward Neural Network with Lateral Feedback Connections for Blind Source Separation",
	pages="349--353",
	booktitle=hos,
	address="Banff, Canada",
	year=1997
}

@inproceedings{Choi97nnsp,
	author="S. Choi and A. Cichocki",
	title="Blind Signal Deconvolution by Spatio-temporal Decorrelation and Demixing",
	pages="426--435",
	booktitle=nnsp7,
	editor="J. Principe and  L. Gile and  N. Morgan and E. Wilson",
	publisher="IEEE",
	year=1997
}


@inproceedings{Choi97iconip_a,
	author="S. Choi and  S. Amari and A. Cichocki",
	title="Natural Gradient Learning Algorithms for Decorrelation",
	pages="645--648",
	booktitle=iconip,
	volume=1,
	address="Dunedin, New Zealand",
	year=1997
}

@inproceedings{Choi97iconip_b,
	author="S. Choi and  A. Cichocki and S. Amari",
	title="Adaptive Blind Deconvolution and Equalization with Self-adaptive Nonlinearities: An Information-theoretic Approach",
	pages="641--644",
	booktitle=iconip,
	volume=1,
	address="Dunedin, New Zealand",
	year=1997
}

@article{Choi98npl,
	author="S. Choi and  R. Liu and A. Cichocki",
	title="A Spurious Equilibria-free Learning Algorithm for the Blind Separation of Non-zero Skewness Signals",
	pages="61--68",
	journal=npl,
	volume=7,
	year=1998
}

@article{Choi98el_a,
	author="S. Choi",
	title="Differential {Hebbian}-type Learning Algorithms for Decorrelation and Independent Component Analysis",
	pages="900--901",
	journal=el,
	volume=34,
	number=9,
	year=1998
}

@article{Choi98el_b,
	author="S. Choi and  A. Cichocki",
	title="Cascade Neural Networks for Multichannel Blind Deconvolution",
	pages="1186--1187",
	journal=el,
	volume=34,
	number=12,
	year=1998
}

@inproceedings{Choi98jcci,
	author="S. Choi",
	title="Temporal Decorrelation-based Blind Equalization (TDBE) Algorithm for Multichannel Transmission",
	pages="641--645",
	booktitle=jcci,
	volume=2,
	year=1998
}

@article{Choi98jieeeK,
	author="S. Choi",
	title="Neural Learning Algorithms for Independent Component Analysis",
	journal=jieeeK,
	volume=2,
	number=1,
	pages="24--33",
	year="1998"
}

@inproceedings{Choi98itc-cscc_a,
	author="S. Choi",
	title="Linear Neural Networks with {FIR} Synapses for Blind Equalization",
	pages="1081--1084",
	booktitle=itc-cscc,
	year=1998,
}

@inproceedings{Choi98itc-cscc_b,
	author="S. Choi",
	title="Adaptive Blind Signal Copy for Antenna Arrays",
	pages="641--644",
	booktitle=itc-cscc,
	year=1998,
}

@inproceedings{Choi98dsp,
	author="S. Choi and A. Cichocki",
	title="On-line Sequential Multichannel Blind Deconvolution: A Deflation Approach",
	pages="159--162",
	booktitle=ieeedsp,
	address="Utah",
	year="1998"
}

@inproceedings{Choi98nnsp_a,
	author="S. Choi and A. Cichocki and S. Amari",
	title="Flexible Independent Component Analysis",
	pages="83--92",
	booktitle="Neural Networks for Signal Processing VIII",
	editor="T. Constantinides and S. -Y. Kung and M. Niranjan and E. Wilson",
	year="1998"
}

@inproceedings{Choi98nnsp_b,
	author="S. Choi and A. Cichocki and S. Amari",
	title="Blind Equalization of {SIMO} Channels via Spatio-temporal Anti-{Hebbian} Learning Rule",
	pages="93--102",
	booktitle="Neural Networks for Signal Processing VIII",
	editor="T. Constantinides and S. -Y. Kung and M. Niranjan and E. Wilson",
	year="1998"
}


@inproceedings{Choi98cic,
	author="S. Choi",
	title="Blind Multiuser Signal Separation Using Antenna Arrays",
	pages="529--533",
	booktitle=cic,
	address="Seoul, Korea",
	year="1998"
}

@inproceedings{Choi99ica,
	author="S. Choi and S. Amari and A. Cichocki and R. Liu",
	title="Natural Gradient Learning with a Nonholonomic Constraint for Blind Deconvolution of Multiple Channels",
	pages="371--376",
	booktitle=ica,
	address="Aussois, France",
	year=1999
}

@article{Choi99febjeeis,
	author="S. Choi",
	title="Adaptive Blind Equalization for Multi-channel Transmission via Temporal Decorrelation",
	pages="130--136",
	volume=4,
	number=1,
	journal=jeeis,
	month="Feb.",
	year=1999
}

@article{Choi99apr1jeeis,
	author="S. Choi",
	title="Linear Neural Networks with {FIR} Synapses for Blind Deconvolution and Equalization",
	pages="224--231",
	volume=4,
	number=2,
	journal=jeeis,
	month="Apr.",
	year=1999
}

@article{Choi99apr2jeeis,
	author="S. Choi",
	title="Adaptive Blind Signal Separation for Multiuser Communications: An information-theoretic Approach",
	pages="249--256",
	volume=4,
	number=2,
	journal=jeeis,
	month="Apr.",
	year=1999
}

@article{Choi99augjeeis,
	author="S. Choi",
	title="Nonstationary Source Separation",
	pages="499--506",
	volume=4,
	number=4,
	journal=jeeis,
	month="Aug.",
	year=1999
}


@article{Choi99decjeeis,
	author="S. Choi",
	title="Incorpotating the Temporal Structure of Sources into Independent Component Analysis",
	pages="773--779",
	volume=4,
	number=6,
	journal=jeeis,
	month="Dec.",
	year=1999
}


@inproceedings{Choi99icassp,
	author="S. Choi  and A. Cichocki and S. Amari",
	title="Two Spatio-temporal Decorrelation Algorithms and their Application to Blind Deconvolution of Multiple Channels",
	booktitle=icassp,
	pages="1085--1088",
	address="Phoenix, AZ",
	year=1999
}

@article{Choi99jcn,
	author="S. Choi and A. Cichocki",
	title="An Unsupervised Hybrid Network for Blind Separation of Independent Non-Gaussian Source Signals in Multipath Environment",
	pages="19--25",
	volume=1,
	number=1,
	journal=jcn,
	year=1999
}

@inproceedings{Choi99hos,
	author="S. Choi  and A. Cichocki",
	title="A Hybrid Learning Approach to Blind Deconvolution of {MIMO} Systems",
	booktitle=hos,
	pages="292--295",
	address="Ceasarea, Israel",
	year=1999
}

@article{Choi99el,
	author="S. Choi and A. Cichocki",
	title="A Hybrid Learning Approach to Blind Deconvolution of Linear {MIMO} Systems",
	pages="1429--1430",
	volume=35,
	number=17,
	journal=el,
	year="August 1999"
}

@inproceedings{Choi99icsp_a,
	author="S. Choi",
	title="Acoustic Source Separation: Fundamental Issues",
	pages="505--509",
	booktitle=icsp,
	year="1999"
}

@inproceedings{Choi99icsp_b,
	author="S. Choi  and Y. Lyu and F. Berthommier and H. Glotin and A. Cichocki",
	title="Blind Separation of Delayed and Superimposed Acoustic Sources: Learning Algorithms and Experimetal Study",
	pages="109--113",
	booktitle=icsp,
	year="1999"
}

@inproceedings{Choi99apcmbe,
	author="S. Choi  and A. Cichocki and S. Amari",
	title="Fetal Electrocardiogram Data Analysis Using Flexible Independent Component Analysis",
	booktitle="Proceedings of Asia-Pacific Conference on Medical and Biological Engineering (APCMBE'99)",
	address="Seoul, Korea",
	year=1999
}

@article{Choi2000jvlsi,
	author="S. Choi and A. Cichocki and S. Amari",
	title="Flexible Independent Component Analysis",
	pages="25--38",
	volume=26,
	number="{1/2}",
	journal="Journal of {VLSI} Signal Processing",
	month="Aug.",
	year=2000
}

@incollection{Choi2000bmcv,
	author="S. Choi  and O. Lee",
	title="Factorial Code Representation of Faces for Recognition",
	pages="42--51",
	editor="S. -W. Lee and H. H. B{\"u}lthoff and T. Poggio",
	booktitle="{Lecture Notes in Computer Science, 1811, Biologically Motivated Computer Vision}",
	publisher="Springer",
	year=2000
}

@inproceedings{Choi2000icassp,
	author="S. Choi  and A. Cichocki and S. Amari",
	title="Local Stability Analysis of Flexible Independent Component Analysis Algorithm",
	pages="3426--3429",
	booktitle=icassp,
	address="Istanbul, Turkey",
	year=2000
}

@article{Choi2000apr1jeeis,
	author="S. Choi and O. Lee",
	title="Sparse Independent Component Analysis: Efficient Coding of Natural Scenes?",
	pages="84--92",
	volume=5,
	number=2,
	journal=jeeis,
	month="Apr.",
	year=2000
}

@article{Choi2000apr2jeeis,
	author="S. Choi",
	title="A Fundamental Theorem for Acoustic Source Separation",
	pages="140--145",
	volume=5,
	number=2,
	journal=jeeis,
	month="Apr.",
	year=2000
}

@article{Choi2000el,
	author="S. Choi and A. Cichocki",
	title="Blind Separation of Nonstationary Sources in Noisy Mixtures",
	pages="848--849",
	volume=36,
	number=9,
	journal=el,
	month="Apr.",
	year=2000
}

@inproceedings{Choi2000itc-cscc,
	author="S. Choi  and H. Hong and J. Oh",
	title="On Correlation Matching Approach to Blind Separation of Nonstationary Sources",
	pages="241--244",
	booktitle="Proceedings of ITC-CSCC",
	year=2000
}

@inproceedings{Choi2000apcc,
	author="S. Choi",
	title="Approximate Maximum Likelihood Source Separation",
	booktitle="Proceedings of Asia-Pacific Conference on Communications",
	year="2000"
}

@inproceedings{Choi2000icslp,
	author="S. Choi and H. Hong and H. Glotin and F. Berthommier",
	title="Multichannel signal separation for cocktail party speech recognition: A dynamic recurrent network",
	booktitle=icslp,
	address="Beijing, China",
	year=2000
}

@inproceedings{Choi2000iconip,
	author="S. Choi",
	title="Blind source separation from noisy measurements: Time-delayed correlation matching",
	pages="1359--1362",
	booktitle=iconip,
	year=2000
}


@inproceedings{Choi2000nnsp,
	author="S. Choi and A. Cichocki",
	title="Blind Separation of Nonstationary and Temporally Correlated Sources from Noisy Mixtures",
	pages="405--414",
	booktitle="Proceedings of IEEE Workshop on Neural Networks for Signal Processing",
	address="Sidney, Austrailia",
	year=2000
}

@article{Choi2000ieice,
	author="S. Choi and S. Amari and A. Cichocki",
	title="Natural gradient learning for spatio-temporal decorrelation: Recurrent network",
	pages="2715--2722",
	volume="{E83-A}",
	number=12,
	journal="IEICE Transactions on Fundamentals",
	month="Dec.",
	year=2000
}

@article{Choi2001el,
	author="S. Choi and A. Cichocki",
	title="Blind Equalization via Approximate Maximum Likelihood Source Separation",
	pages="61--62",
	volume=37,
	number=1,
	journal=el,
	month="Jan.",
	year=2001
}

@inproceedings{Choi2001spawc,
	author="S. Choi and A. Cichocki and L. Zhang and S. Amari",
	title="Approximate Maximum Likelihood Source Separation Using the Natural Gradient",
	booktitle="Proceedings of IEEE Workshop on Signal Processing Advances in Wireless Communications",
	pages="235--238",
	address="Taoyuan, Taiwan",
	year=2001
}

@inproceedings{Choi2001ssp,
	author="S. Choi and A. Cichocki and A. Belouchrani",
	title="Blind Separation of Second-order Nonstationary and Temporally Colored Sources",
	pages="444-447",
	booktitle="Proceedings of IEEE Workshop on Statistical Signal Processing",
	address="Singapore",
	year=2001
}

@inproceedings{Choi2001isspa,
	author="S. Choi and A. Cichocki",
	title="Correlation Matching Approach to Source Sepration in the Presence of Spatially Correlated Noise",
	booktitle=isspa,
	address="Kuala-Lumpur, Malaysia",
	year=2001
}

@article{Choi2002nn,
	author="S. Choi and A. Cichocki and S. Amari",
	title="Equivariant Nonstationary Source Separation",
	journal="Neural Networks",
	pages="121--130",
	volume=15,
	number=1,
	year=2002
}

@article{Choi2002jvlsi,
	author="S. Choi and A. Cichocki and A. Belouchrani",
	title="Second Order Nonstationary Source Separation",
	journal="Journal of VLSI Signal Processing",
	pages="93--104",
	volume=32,
	year=2002,
}

@article{Choi2002neucom,
	author="S. Choi and H. Hong and H. Glotin and F. Berthommier",
	title="Multichannel Signal Separation for Cocktail Party Speech Recognition: A Dynamic Recurrent Network",
	journal="Neurocomputing",
	pages="299--314",
	volume=49,
	number="1-4",
	year=2002,

}

@inproceedings{Choi2001ica_a,
	author="S. Choi and A. Cichocki and Yannick Deville",
	title="Differential Decorrelation for Nonstationary Source Separation",
	booktitle="Proceedings of ICA",
	address="San Diego, CA",
	year=2001
}

@inproceedings{Choi2002itccscc_a,
	author="S. Choi",
	title="Sequential {EM} Learning for Subspace Analysis",
	booktitle="Proceedings of ITC-CSCC",
	address="Phuket, Thailand",
	year=2002
}

@inproceedings{Choi2002ijcnn,
	author="S. Choi and A. Cichocki and S. Amari",
	title="Natural Gradient Learning for Second-Order Nonstationary Source Separation",
	pages="654--658",
	booktitle=icjnn,
	address="Honolulu, Hawaii",
	month="May",
	year=2002
}

@inproceedings{Choi2002icann,
	author="S. Choi",
	title="Adaptive Differential Decorrelation: A Natural Gradient Algorithm",
	pages="1168--1173",
	booktitle=icann,
	address="Madrid, Spain",
	month="Aug.",
	year=2002
}

@inproceedings{Choi2002icslp,
	author="F. Berthommier and S. Choi",
	title="Comparative Evaluation of {CASA} and {BSS} Models for Subband Cocktail Party Speech Segregation",
	booktitle=icslp,
	address="Denver, Colorado",
	month="Sep.",
	year=2002
}

@inproceedings{Choi2002iconip-a,
	author="S. Choi and S. Kim and J. S. Lee and D. S. Lee",
	title="Rectified Subspace Analysis of Dynamic Positron Emission Tomography",
	pages="2269--2273",
	booktitle=iconip,
	address="Singapore",
	year=2002
}

@inproceedings{Choi2002iconip-b,
	author="H. Lee and S. Choi",
	title="{PCA}-Based Linear Dynamical Systems for Multichannel {EEG} Classification",
	pages="745--749",
	booktitle=iconip,
	address="Singapore",
	year=2002
}

@article{Choi2003ieice,
	author="S. Choi and A. Cichocki and L. Zhang and S. Amari",
	title="Approximate Maximum Likelihood Source Separation Using the Natural Gradient",
	pages="206--214",
	journal="IEICE Transactions on Fundamentals",
	volume="E86-A",
	number=1,
	month="Jan.",
	year=2003
}

@inproceedings{Choi2003icassp,
	author="S. Choi",
	title="Differential Learning and Random Walk Model",
	pages="724--727",
	booktitle=icassp,
	address="Hong Kong",
	year=2003
}

@inproceedings{Choi2003isspa,
	author="H. Lee and S. Choi",
	title="{PCA+HMM+SVM} for {EEG} Pattern Classification",
	pages="541--544",
	booktitle="Proceedings of IEEE Int. Symp. Signal Processing and Applications",
	address="Paris, France",
	year=2003
}

@article{Choi2004bit,
	author="S. Choi",
	title="Independence or Nonnegativity: Constraints for Sensory Coding",
	pages="38--41",
	journal="International Congress Series",
	volume=1269,
	publisher="Elsevier",
	year=2004
}

@article{Choi2004prl,
	author="S. Choi",
	title="Sequential {EM} Learning for Subspace Analysis",
	pages="1559--1567",
	journal=prl,
	volume=25,
	number=14,
	year=2004
}

@article{Choi2005niplr,
	author="S. Choi and A. Cichocki and H. {-M.} Park and S. {-Y.} Lee",
	title="Blind Source Separation and Independent Component Analysis: A Review",
	pages="1--57",
	journal="Neural Information Processing - Letters and Review",
	volume=6,
	number=1,
	year=2005
}

@inproceedings{Choi2005icann,
	author="S. Choi",
	title="On Variations of Power Iteration",
	pages="145--150",
	booktitle=icann,
	volume=2,
	address="Warsaw, Poland",
	publisher="Springer",
	year=2005
}

@inproceedings{Choi2006icassp,
	author="S. Choi and J. {-H.} Ahn and A. Cichocki",
	title="Iterative Projection Approximation Algorithms for {PCA}",
	booktitle=icassp,
	address="Toulouse, France",
	year=2006
}

@article{Choi2006el,
	author="S. Choi",
	title="Coupled {Helmholtz} Machine for {PCA}",
	journal=el,
	volume=42,
	number=16,
	pages="936--937",
	year=2006
}

@article{Choi2006npl,
	author="S. Choi and J. {-H.} Ahn and A. Cichocki",
	title="Constrained Projection Approximation Algorithms for Principal Component Analysis",
	pages="53--65",
	journal=npl,
	volume=24,
	number=1,
	year=2006
}

@article{Choi2006nn,
	author="S. Choi",
	title="Differential Learning Algorithms for Decorrelation and Independent Component Analysis",
	pages="1558--1567",
	journal=nn,
	volume=19,
	number=10,
	year=2006
}

@inproceedings{Choi2007ijcnn,
	author="S. Choi",
	title="Wake-Sleep {PCA}",
	booktitle=ijcnn,
	address="Orlando, Florida",
	year=2007
}

@article{Choi2008prl,
	author="A. Cichocki and H. Lee and Y. -D. Kim and S. Choi",
	title="Nonnegative Matrix Factorization with Alpha-Divergence",
	pages="1433--1440",
	journal=prl,
	volume=29,
	number=9,
	year=2008
}

@inproceedings{Choi2008ijcnn,
	author="S. Choi",
	title="Algorithms for Orthogonal Nonnegative Matrix Factorization",
	booktitle=ijcnn,
	address="Hong Kong",
	year=2008
}

@inproceedings{ChoiCK2004ica,
	author="C. Choi and G. Jang and Y. Lee and S. Kim",
	title="Adaptive Cross-Channel Interference Cancellation on Blind Source Separation Outputs",
	booktitle=ica,
	address="Granada, Spain",
	year=2004
}

@inproceedings{ChoiHY2004ijcnn,
	author="H. Choi and S. Kim and S. Choi",
	title="Trust-Region Learning for {ICA}",
	pages="41--46",
	booktitle=ijcnn,
	address="Budapest, Hungary",
	year=2004
}

@article{ChoiHY2004el,
	author="H. Choi and S. Choi",
	title="Kernel {Isomap}",
	pages="1612--1613",
	journal=el,
	volume=40,
	number=25,
	month="December",
	year=2004
}

@inproceedings{ChoiHY2005icassp,
	author="H. Choi and S. Choi",
	title="Relative Trust-Region Learning for {ICA}",
	booktitle=icassp,
	address="Philadelphia, PA",
	year=2005
}

@inproceedings{ChoiHY2005icdl,
	author="H. Choi and S. Choi",
	title="Kernel {Isomap} on Noisy Manifold",
	booktitle="Proceedings of International Conference on Development and Learning",
	address="Osaka, Japan",
	year=2005
}

@article{ChoiHY2007neucom,
	author="H. Choi and S. Choi",
	title="A Relative Trust-Region Algorithm for Independent Component Analysis",
	pages="1502--1510",
	journal=neucom,
	volume=70,
	year=2007
}

@article{ChoiHY2007pr,
	author="H. Choi and S. Choi",
	title="Robust Kernel {Isomap}",
	pages="853--862",
	journal=pr,
	volume=40,
	number=3,
	year=2007
}

@inproceedings{ChoiHY2008aaai,
	author="H. Choi and S. Choi and Y. Choe",
	title="Manifold Integration with {Markov} Random Walk",
	booktitle=aaai,
	address="Chicago, IL",
	year=2008
}

@inproceedings{ChoiHY2010pricai,
	author="H. Choi and S. Choi and A. Katake and Y. Kang and Y. Choe",
	title="Manifold Alpha-Integration",
	pages="397--408",
	booktitle=pricai,
	address="Daegu, Korea",
	year=2010
}

@inproceedings{ChorosB2010lns,
	author="B. Choro{\'s} and R. Ibragimov and E. Permiakova",
	title="Copula Estimation",
	pages="77--91",
	booktitle="Copula Theory and Its Applications",
	publisher="Springer",
	year=2010
}

@article{ChoudhuryT2008pervasive,
	author="T. Chouhury and S. Consolvo and B. Harrison and J. Hightower and A. {LaMarca} and L. {LeGrand} and A. Rahimi and A. Rea and G. Borriello and B. Hemingway and P. Klasnja and K. Koscher and J. A. Landay and J. Lester and D. Wyatt and D. Haehnel",
	title="The Mobile Sensing Platform: An Embedded Activity Recognition System",
	pages="32--41",
	journal="IEEE Pervasive Computing",
	volume=7,
	number=2,
	year=2008
}

@article{ChuW2005jmlr,
	author="W. Chu and Z. Ghahramani",
	title="Gaussian Processes for Ordianl Regression",
	pages="1019--1041",
	journal=jmlr,
	volume=6,
	year=2005
}

@inproceedings{ChuW2005icml_a,
	author="W. Chu and Z. Ghahramani",
	title="Preference Learning with {Gaussian} Processes",
	booktitle=icml,
	address="Bonn, Germany",
	year=2005
}

@inproceedings{ChuW2005icml_b,
	author="W. Chu and S. S. Keerthi",
	title="New Approaches to Support Vector Ordianl Regression",
	booktitle=icml,
	address="Bonn, Germany",
	year=2005
}

@inproceedings{ChuaTS2009civr,
	author="T. -S. Chua and J. Tang and R. Hong and H. Li and Z. Luo and Y. Zheng",
	title="{NUS-WIDE:} A Real-World Web Image Database from National University of Singapore",
	booktitle=civr,
	address="Santorini, Greece",
	year=2009
}

@inproceedings{ChumO2007cvpr,
	author="O. Chum and J. Philbin and J. Sivic and M. Isard and A. Zisserman",
	title="Total Recall: Automatic Query Expansion  with a Generative Feature Model for Object Retrieval",
	booktitle=cvpr,
	address="Minneapolis, Minnesota, USA",
	year=2007
}

@inproceedings{ChumO2008bmvc,
	author="O. Chum and J. Philbin and A. Zisserman",
	title="Near Duplicate Image Detection: Min-Hash and tf-idf Weighting",
	booktitle=bmvc,
	year=2008
}

@inproceedings{ChumO2009cvpr,
	author="O. Chum and M. Perdoch and J. Matas",
	title="Geometric Min-Hashing: Finding a (Thick) Needle in a Haystack",
	booktitle=cvpr,
	address="Miami, Florida, USA",
	year=2009
}

@article{ChumO2010ieeetpami,
	author="O. Chum and J. Matas",
	title="Large-Scale Discovery of Spatially Related Images",
	pages="371--377",
	journal=ieeetpami,
	volume=32,
	number=2,
	year=2010
}

@book{ChungFRK97book,
	author="F. R. K. Chung",
	title="Spectral Graph Theory",
	publisher="American Mathematical Society",
	year=1997
}

@inproceedings{ChungJ2015nips,
	author="J. Chung and K. Kastner and L. Dinh and K. Goel and A. Courville and Y. Bengio",
	title="A Recurrent Latent Variable Model for Sequential Data",
	booktitle=nips,
	volume=28,
	year=2015
}

@article{Cichocki92bcyb,
	author="A. Cichocki and R. Unbehauen",
	title="Neural Networks for Computing Eigenvalues and Eigenvectors",
	pages="155--164",
	journal="Biological Cybernetics",
	volume=68,
	year=1992
}

@inproceedings{Cichocki94isann,
	author="A. Cichocki and R. Unbehauen and L. Moszczynski and E. Rummert",
	title="A New On-line Adaptive Learning Algorithm for Blind Separation of Source Signals",
	pages="406--411",
	booktitle=isann,
	year=1994
}

@article{Cichocki94el,
	author="A. Cichocki and R. Unbehauen and E. Rummert",
	title="Robust Learning Algorithm for Blind Separation of Signals",
	pages="1386--1387",
	journal=el,
	volume=43,
	number=17,
	year=1994
}

@book{Cichocki94,
	author="A. Cichocki and R. Unbehauen",
	title="Neural Networks for Optimization and Signal Processing",
	publisher="Wiely",
	year=1994
}

@article{Cichocki96ieeetcasi,
	author="A. Cichocki and R. Unbehauen",
	title="Robust Neural Networks with On-line Learning for Blind Identification and Blind Separation of Sources",
	pages="894--906",
	journal=ieeetcasi,
	volume=43 ,
	year=1996
}

@inproceedings{Cichocki96nolta,
	author="A. Cichocki and S. Amari and R. Thawonmas",
	title="Blind Signal Extraction Using Self-adaptive Non-linear Hebbian Learning Rule",
	pages="377--380",
	booktitle=nolta,
	year=1996
}

@article{Cichocki97el,
	author="A. Cichocki and R. Thawonmas  and S. Amari",
	title="Sequential Blind Signal Extraction in Order Specifed by Stochastic Properties",
	pages="64--65",
	journal=el,
	volume=33,
	number=1,
	year=1997
}

@inproceedings{Cichocki97icnn,
	author="A. Cichocki and R. Thawonmas and S. Amari",
	title="Dual Cascade Networks for Blind Signal Extraction",
	pages="2135--2140",
	booktitle=icnn,
	address="Houston, TX",
	year=1997
}

@inproceedings{Cichocki97isciie,
	author="A. Cichocki",
	title="Blind Separation and Extraction of Source Signals - Recent Results and Open Problems",
	pages="43--48",
	booktitle="Proceedings of of the 4th Annual Conference of the Institute of Systems, Control, and Information",
	address="Osaka, Japan",
	year=1997
}

@inproceedings{Cichocki97nolta,
	author="A. Cichocki and I. Sabala and S. Choi and B. Orsier and R. Szupiluk",
	title="Self-adaptive Independent Component Analysis for Sub-{Gaussian} and Super-{Gaussian} Mixtures with Unknown Number of Source Signals",
	pages="731--734",
	booktitle=nolta,
	year=1997
}

@inproceedings{Cichocki97iconip,
	author="A. Cichocki and J. Cao and I. Sabala",
	title="On-line Adaptive Algorithms for Blind Equalization of Multi-channel Systems",
	pages="649--652",
	booktitle=iconip,
	address="Dunedin, New Zealand",
	year=1997
}

@article{Cichocki97ieice,
	author="A. Cichocki and S. Amari and J. Cao",
	title="Neural Network Models for Blind Separation of Time Delayed and Convolved Signals",
	pages="1595--1603",
	journal=ieice,
	volume="E80-A",
	number=9,
	year=1997
}

@inproceedings{Cichocki98tenerife,
	author="A. Cichocki and S. Douglas and S. Amari and P. Mierzejewski",
	title="Independent component analysis for noisy data",
	pages="52--58",
	address="Tenerife, Spain",
	booktitle=tenerife,
	year=1998
}

@inproceedings{Cichocki98eis,
	author="A. Cichocki and I. Sabala and S. Amari",
	title="Intelligent Neural Networks for Blind Signal Separation with Unknown Number of Sources",
	pages="148--154",
	address="Tenerife, Spain",
	booktitle="International Symp. Engineering of Intelligent Systems",
	year=1998
}

@inproceedings{Cichocki98iconip,
	author="A. Cichocki and L. Zhang",
	title="Two-stage Blind Deconvolution Using State-space Models",
	pages="729--732",
	address="Kitakyushu, Japan",
	booktitle=iconip,
	note="invited paper",
	year=1998
}


@inproceedings{Cichocki99ica,
	author="A. Cichocki and L. Zhang and S. Choi and S. Amari",
	title="Nonlinear Dynamic Independent Component Analysis Using State Space and Neural Network Models",
	pages="99--104",
	address="Aussois, France",
	booktitle="First International Workshop on Independent Component Analysis and Signal Separation",
	year=1999
}


@article{Cichocki2000npl,
	author="A. Cichocki and R. Thawonmos",
	title="On-line Algorithm for Blind Signal Extraction of Arbitrarily Distributed but Temporally Correlated Sources Using Second-order Statistics",
	pages="91--98",
	journal=npl,
	volume=12,
	number=1,
	year=2000
}

@book{Cichocki2002book,
	author="A. Cichocki and S. Amari",
	title="Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications",
	publisher="John Wiley {\&} Sons, Ltd.",
	address="West Sussex, England",
	year=2002
}

@inproceedings{Cichocki2006ica,
	author="A. Cichocki and R. Zdunek and  S. Amari",
	title="Csisz\'ar's Divergences for Non-Negative Matrix Factorization: Family of New Algorithms",
	booktitle=ica,
	address="Charleston, South Carolina",
	year=2006
}

@inproceedings{Cichocki2006icaisc,
	author="A. Cichocki and S. Amari and R. Zdunek",
	title="Extended {SMART} Algorithms for Non-Negative Matrix Factorization",
	booktitle="Proceedings of the Eighth International Conference on Artificial Intelligence and Soft Computing",
	address="Zakopane, Poland",
	year=2006
}

@inproceedings{Cichocki2006icassp,
	author="A. Cichocki and R. Zdunek and  S. Amari",
	title="New Algorithms for Non-Negative Matrix Factorization in Applications to Blind Source Separation",
	booktitle=icassp,
	address="Toulouse, France",
	year=2006
}

@inproceedings{Cichocki2007icannga,
	author="A. Cichocki and R. Zdunek and  S. Choi and R. J. Plemmons and S. Amari",
	title="Novel Multi-Layer Non-Negative Tensor Factorization with Sparsity Constraints",
	booktitle="Proceedings of International Conference on Adaptive and Natural Computing Algorithms",
	address="Warsaw, Poland",
	year=2007
}

@inproceedings{Cichocki2007icassp,
	author="A. Cichocki and R. Zdunek and  S. Choi and R. J. Plemmons and S. Amari",
	title="Non-Negative Tensor Factorization Using Alpha and Beta Divergences",
	booktitle=icassp,
	address="Honolulu, Hawaii",
	year=2007
}

@article{Cichocki2008prl,
	author="A. Cichocki and H. Lee and Y. {-D.} Kim and S. Choi",
	title="Nonnegative Matrix Factorization with $\alpha$-Divergence",
	pages="1433--1440",
	journal=prl,
	volume=29,
	number=9,
	year=2008
}

@article{Cichocki2008computer,
	author="A. Cichocki and Y. Washizawa and T. Rutkowski and H. Bakardjian and A. -H. Phan and S. Choi and H. Lee and Q. Zhao and L. Zhang and Y. Li",
	title="Noninvasive {BCIs}: Multiway Signal-Processing Array Decompositions",
	pages="34--42",
	journal="IEEE Computer",
	volume=41,
	number=10,
	year=2008
}

@article{ClausetA2008nature,
	author="A. Clauset and C. Moore and M. E. J. Newman",
	title="Hierarchical Structure and the Prediction of Missing Links in Networks",
	pages="98--101",
	journal=nature,
	volume=453,
	year=2008
}

@inproceedings{CollinsM2001nips,
	author="M. Collins and S. Dasjupta and R. E. Schapire",
	title="A Generalization of Principal Component Analysis to the Exponential Family",
	booktitle=nips,
	volume=14,
	year=2002
}

@inproceedings{CollobertR2006icml,
	author="R. Collobert and F. Sinz and J. Weston and L. Bottou",
	title="Trading Convexity for Scalbility",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@incollection{CollobertR2007book,
	author="R. Collobert and F. Sinz and J. Weston and L. Bottou",
	title="Trading Convexity for Scalbility",
	pages="275--299",
	editor="L. Bottou and O. Chapelle and D. DeCoste and J. Weston",
	booktitle="Large-Scale Kernel Machines",
	publisher="MIT Press",
	year=2007
}

@misc{Coleman-optimization,
	author="T. Coleman and M. Branch and A. Grace",
	title="Optimization Toolbox for Use with {MATLAB} User's Guide Version 2",
	publisher="The MathWorks, Inc.",
	url="citeseer.ist.psu.edu/430476.html",
	year=1999
}

@article{CollobertR2006jmlr,
	author="R. Collobert and F. Sinz and J. Weston and L. Bottou",
	title="Large Scale Transductive {SVMs}",
	pages="1687--1712",
	journal=jmlr,
	volume=7,
	year=2006
}

@article{ComaniciuD2002ieeetpami,
	author="D. Comaniciu and P. Meer",
	title="Mean Shift: A Robust Approach toward Feature Space Analysis",
	pages="603--619",
	journal=ieeetpami,
	volume=24,
	number=5,
	year=2002
}

@article{Comon94sp,
	author="P. Comon",
	title="Independent Component Analysis, A New Concept?",
	pages="287--314",
	journal=sp,
	volume=36,
	number=3,
	year=1994
}

@article{Comon97ieeespl,
	author="P. Comon",
	title="Contrast Functions for Blind Deconvolution",
	pages="209--211",
	journal=ieeespl,
	year=1996
}

@article{Compernolle89csl,
	author="D. Van Compernolle",
	title="Noise Adaptation in a Hidden{Markov} Model Speech Recognition System",
	pages="151--167",
	journal="Computer Speech and Language",
	year=1989
}

@article{CooperG92ml,
	author="G. Cooper and E. Herskovits",
	title="A {Bayesian} Method for the Induction of Probabilistic Networks from Data",
	pages="309--347",
	journal="Machine Learning",
	volume=9,
	year=1992
}

@article{CorleyHW83nrl,
	author="H. W. Corley and H. Golnabi",
	title="Minimax Trees, Paths, and Cut Sets",
	pages="665--666",
	journal="Naval Research Logistics Quartely",
	volume=30,
	number=4,
	year=1983
}

@article{CorsoJJ2008ieeetmi,
	author="J. J. Corso and E. Sharon and S. Dube and S. El-Saden and U. Sinha and Y. Yuille",
	title="Efficient Multilevel Brain Tumor Segmentation With Integrated {Bayesian} Model Classification",
	pages="629--640",
	journal=ieeetmi,
	volume=27,
	number=5,
	year=2008
}

@article{CortesC95ml,
	author="C. Cortes and V. Vapnik",
	title="Support-Vector Networks",
	pages="273--297",
	journal=ml,
	volume=20,
	number=3,
	year=1995
}

@inproceedings{CortesC2008icml,
	author="C. Cortes and M. Mohri and D. Pechyony and A. Rastogi",
	title="A Stability of Transductive Regression Algorithms",
	booktitle=icml,
	address="Helsinki, Finland",
	year=2008
}

@article{CotterSF2005ieeetsp,
	author="S. F. Cotter and B. D. Rao and K. Engan and K. {Kreutz-Delgado}",
	title="Sparse Solutions to Linear Inverse Problems with Multiple Measurement Vectors",
	pages="2477--2488",
	journal=ieeetsp,
	volume=53,
	number=7,
	year=2005
}

@book{Cover,
	author="T. M. Cover and J. A. Thomas",
	title="Elements of Information Theory",
	publisher="John Wiely {\&} Sons",
	address="New York",
	year=1991
}

@book{Cox,
	author="T. F. Cox and M. A. A. Cox",
	title="Multidimensional Scaling",
	edition=2,
	publisher="Chapman {\&} Hall",
	year=2001
}

@article{CrammerK2001jmlr,
	author="K. Crammer and Y. Singer",
	title="On the Algorithmic Implementation of Multiclass Kernel-Based Vector Machines",
	pages="265--292",
	journal=jmlr,
	volume=2,
	year=2001
}

@article{CrammerK2002ml,
	author="K. Crammer and Y. Singer",
	title="On the Learnability and Design of Output Codes for Multiclass Problems",
	pages="201--233",
	journal=ml,
	volume=47,
	year=2002
}

@article{CrammerK2003jmlr,
	author="K. Crammer and Y. Singer",
	title="A Family of Additive Online Algortihtms for Cagegory Ranking",
	pages="1025--1058",
	journal=jmlr,
	volume=3,
	year=2003
}

@book{Cristianini2000book,
	author="N. Cristianini and J. Shawe-Taylor",
	title="An Introduction to Suport Vector Machines and Other Kernel-Based Learning Methods",
	publisher="Cambridge University Press",
	year=2000
}

@article{CsatoL2002nc,
	author="L. Csat\'{o} and M Opper",
	title="Sparse On-Line {Gaussian} Processes",
	pages="641--668",
	journal=nc,
	volume=14,
	year=2002
}

@inproceedings{Csiszar74,
	author="I. Csisz\'ar",
	title="Information Measures: A Critical Survey",
	pages="73--86",
	booktitle="Trans. 7th Prague Conference on Information Theory",
	volume="A",
	year=1974
}

@inproceedings{DahlGE2013icassp,
	author="G. E. Dahl and T. N. Sainath and G. E. Hinton",
	title="Improving Deep Neural Networks for {LVCSR} using Rectified Linear Units and Dropout",
	booktitle=icassp,
	address="Vancouver, Canada",
	year=2013
}

@inproceedings{DaiZ2016iclr,
	author="Z. Dai and A. Damianou and J. Gonz{\'a}lez and N. Lawrence",
	title="Variational Auto-Encoded Deep {Gaussian} Processes",
	booktitle=iclr,
	address="San Juan, Puerto Rico",
	year=2016
}

@inproceedings{DalalN2005cvpr,
	author="N. Dalal and B. Triggs",
	title="Histograms of Oriented Gradients for Human Detection",
	booktitle=cvpr,
	address="San Diego, CA",
	year=2005
}

@inproceedings{DasguptaA2004focs,
	author="A. Dasgupta and J. E. Hopcroft and F. {McSherry}",
	title="Spectral Analysis of Random Graphs with Skewed Degree Distribution",
	pages="602--610",
	booktitle=focs,
	year=2004
}

@inproceedings{DasguptaA2011kdd,
	author="A. Dasgupta and R. Kumar and T. Sarl{'\o}s",
	title="Fast Locality-Sensitive Hashing",
	booktitle=kdd,
	address="San Diego, CA, USA",
	year=2011
}

@inproceedings{DatarM2004socg,
	author="M. Datar and  N. Immorlica and P. Indyk and V. Mirrokni",
	title="Locality Sensitive Hashing Scheme Based on $p$-Stable Distributions",
	booktitle=socg,
	year=2004
}

@inproceedings{DaumeH2007aistats,
	author="H. Daum{\'e III}",
	title="Fast Search for {Dirichlet} Process Mixture Models",
	booktitle=aistats,
	year=2007
}

@article{DayWHE84joc,
	author="W. H. E. Day and H. Edelsbrunner",
	title="Efficient Algorithms for Agglomerative Hierarchical Clustering Methods",
	pages="7--24",
	journal="Journal of Classification",
	volume=1,
	year=1984
}

@article{DayanP95nc,
	author="P. Dayan and G. E. Hinton and R. M. Neal and R. S. Zemel",
	title="The {Helmholtz} Machine",
	pages="1022--1037",
	journal=nc,
	volume=7,
	year=1995
}

@book{DayanP2001book,
	author="P. Dayan and L. F. Abbott",
	title="Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems",
	publisher="MIT Press",
	year=2001
}

@article{DeanJ2008cacm,
	author="J. Dean and S. Ghemawat",
	title="{MapReduce}: Simplified Data Processing on Large Clusters",
	pages="107--113",
	journal=cacm,
	volume=51,
	number=1,
	year=2008
}

@article{Deco95nn,
	author="G. Deco and W. Brauer",
	title="Nonlinear Higher-order Statistical Decorrelation by Volume-conserving Neural Architechture",
	pages="525--535",
	journal=nn,
	year=1995
}

@book{Deco96,
	author="G. Deco and D. Obradovic",
	title="An Information Theoretic Approach to Neural Computing",
	publisher="Springer",
	year=1996
}

@inproceedings{DeCosteD2006icml,
	author="D. {DeCoste}",
	title="Collaborative Prediction Using Ensembles of Maximum Margin Matrix Factorizations",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@article{DeerwesterS90jasis,
	author="S. Deerwester and S. T. Dumais and G. W. Furnas and T. K. Landauer and R. Harshman",
	title="Indexing by Latent Semantic Analysis",
	journal="Journal of the American Society of Information Science",
	volume=41,
	pages="391--407",
	year=1990
}

@inproceedings{DekelO2002nips,
	author="O. Dekel and Y. Singer",
	title="Multiclass Learning by Probabilistic Embedding",
	booktitle=nips,
	volume=15,
	publisher="MIT Press",
	year=2003
}

@inproceedings{DekelO2003nips,
	author="O. Dekel and C. D. Manning and Y. Singer",
	title="Log-Linear Models for Label Ranking",
	booktitle=nips,
	volume=16,
	publisher="MIT Press",
	year=2004
}

@inproceedings{DelalleauO2005aistats,
	author="O. Delalleau and Y. Bengio and N. {Le Roux}",
	title="Efficient Non-Parametric Function Induction in Semi-Supervised Learning",
	booktitle=aistats,
	pages="96--103",
	year=2005
}

@incollection{DelalleauO2006book,
	author="O. Delalleau and Y. Bengio and N. {Le Roux}",
	title="Large-Scale Algorithms",
	pages="333--341",
	editor="O. Chapelle and B. Sch{\"o}lkopf and A. Zien",
	booktitle="Semi-Supervised Learning",
	publisher="MIT Press",
	year=2006
}

@article{Delfosse95sp,
	author="N. Delfosse and P. Loubaton",
	title="Adaptive Blind Separation of Independent Sources: A Deflation Approach",
	pages="59--83",
	journal=sp,
	volume=45,
	year=1995
}

@inproceedings{Delfosse96icassp,
	author="N. Delfosse and P. Loubaton",
	title="Adaptive Blind Separation of Convolutive Mixtures",
	pages="2940--2943",
	booktitle=icassp ,
	year=1996
}

@inproceedings{DelgadoJ99sigirws,
	author="J. Delgado and N. Ishii",
	title="Memory-Based Weighted-Majority Prediction for Recommender Systems",
	booktitle="Proceedings of the ACM SIGIR Workshop on Recommender Systems",
	year=1999
}

@article{DelormeA2004jnm,
	author="A. Delorme and S. Makeig",
	title="{EEGLAB:} An Open Source Toolbox for Analysis of Single-Trial {EEG} Dynamics",
	pages="9--21",
	journal="Journal of Neuroscience Methods",
	volume=134,
	year=2004
}

@article{DenuitM2005jma,
	author="M. Denuit and P. Lambert",
	title="Constraints on Concordance Measures in Bivariate Discrete Data",
	pages="40--57",
	journal="Journal of Multivariate Analysis",
	volume=93,
	year=2005
}

@article{Depireux2001neurophysi,
	author="D. A. Depireux and J. Z. Simon and D. J. Klein and S. A. Shamma",
	title="Spectro-Temporal Response Field Characterization with Dynamic Ripples in Ferret Primary Auditory Cortex",
	pages="1220--1234",
	journal="J. Neurophysiology",
	volume=85,
	year=2001
}

@techreport{DeMenthonD2002tr,
	author="D. DeMenthon and R. Megret",
	title="Sptio-Temporal Segmentation of Video by Hierarchical Mean Shift Analysis",
	number="{LAMP}-{TR}-090,{CAR}-{TR}-978,{CS}-{TR}-4388,{UMIACS}-{TR}-2002-68",
	institution="University of Maryland, College Park",
	year=2002
}

@article{Dempster77jrssB,
	author="A. P. Dempster and N. M. Laird and D. B. Rubin",
	title="Maximum Likelihood from Incomplete Data via the {EM} Algorithm",
	pages="1--38",
	journal=jrssB,
	volume=39,
	year=1977
}

@incollection{DeshpandeA2006,
	author="A. Deshpande and S. Vempala",
	title="Adaptive Sampling and Fast Low-Rank Matrix Approximation",
	pages="292--303",
	editor="J. D{\'i}az and K. Jansen and J. D. P. Rolim and U. Zwick",
	booktitle="Approximation, Randomization, and Combinatorial Optimization: Algorithms and Techniques",
	publisher="Springer",
	year=2006
}

@inproceedings{Deville2000eusipco,
	author="Y. Deville and M. Benali",
	title="Differential Source Separation: Concept and Application to a Criterion Based on Differential Normalized Kurtosis",
	booktitle="Proceedings of EUSIPCO",
	year=2000
}

@inproceedings{Deville2001icassp,
	author="Y. Deville and S. Savoldelli",
	title="A Second-Order Differential Approach for Underdetermined Convolutive Source Separation",
	booktitle=icassp,
	year=2001
}

@inproceedings{DhillonIS2001kdd,
	author="I. S. Dhillon",
	title="Co-Clustering Documents and Words using Bipartite Spectral Graph Partitioning",
	booktitle=kdd,
	location="San Francisco, California",
	year=2001
}

@inproceedings{DhillonIS2003kdd,
	author="I. S. Dhillon and S. Mallela and D. S. Modha",
	title="Information-Theoretic Co-Clustering",
	booktitle=kdd,
	location="Washington, D.C.",
	pages="89--98",
	year=2003
}

@inproceedings{DhillonIS2004kdd,
	author="I. S. Dhillon and Y. Guan and B. Kulis",
	title="Kernel k-means, Spectral Clustering and Normalized Cuts",
	booktitle=kdd,
	address="Seattle, WA",
	year=2004
}

@inproceedings{DhillonIS2005nips,
	author="I. S. Dhillon and S. Sra",
	title="Generalized Nonnegative Matrix Approximations with {Bregman} Divergences",
	booktitle=nips,
	volume=18,
	year=2006
}

@book{Diamantaras96,
	author="K. I. Diamantaras and S. Y. Kung",
	title="Principal Component Neural Networks: Theory and Applications",
	publisher="John Wiely {\&} Sons, INC",
	year=1996
}

@article{DietterichTG95jair,
	author="T. G. Dietterich and G. Bakiri",
	title="Solving Multiclass Learning Problems via Error-Correcting Output Codes.",
	pages="263--286",
	journal=jair,
	volume=2,
	year=1995
}

@article{DietterichTG98nc,
	author="T. G. Dietterich",
	title="Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms",
	pages="1895--1923",
	journal=nc,
	volume=10,
	number=1,
	year=1998
}

@inproceedings{DietterichTG2000mcs,
	author="T. G. Dietterich",
	title="Ensemble Methods in Machine Learning",
	pages="1--15",
	booktitle="Proceedings of the First International Workshop on Multiple Classifier Systems",
	address="Cagliari, Italy",
	year=2000
}

@article{DijkstraEW59nm,
	author="E. W. Dijkstra",
	title="A Note on Two Problems in Connexion with Graphs",
	pages="269--271",
	journal="Numerische Mathematik",
	volume=1,
	year=1959
}

@inproceedings{DingC2001icdm,
	author="C. Ding and X. He and H. Zha and M. Gu and H. Simon",
	title="Spectral {Min-Max} Cut for Graph Partitioning and Data Clustering",
	pages="107--114",
	booktitle="Proceedings of IEEE International Conference on Data Mining",
	address="San Nose, CA",
	year=2001
}

@inproceedings{DingC2004icml,
	author="C. Ding and X. He",
	title="K-Means Clustering via Principal Component Analysis",
	pages="225--232",
	booktitle=icml,
	address="Banff, Canada",
	year=2004
}

@inproceedings{DingC2005sdm,
	author="C. Ding and X. He and H. D. Simon",
	title="On the Equivalence of Nonnegative Matrix Factorization and Spectral Clustering",
	pages="606--610",
	booktitle=sdm,
	address="Newport Beach, CA",
	year=2005
}

@inproceedings{DingC2006aaai,
	author="C. Ding and T. Li and W. Peng",
	title="Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence, Chi-Square Statistic, and a Hybrid Method",
	booktitle=aaai,
	year=2006
}

@techreport{DingC2006tr,
	author="C. Ding and T. Li and M. I. Jordan",
	title="Convex and Semi-Nonnegative Matrix Factorizations",
	number="60428",
	institution="Lawrence Berkeley National Lab",
	year=2006
}

@inproceedings{DingC2006kdd,
	author="C. Ding and T. Li and W. Peng and H. Park",
	title="Orthogonal Nonnegative Matrix Tri-Factorizations for Clustering",
	booktitle=kdd,
	address="Philadelphia, PA",
	year=2006
}

@inproceedings{DingC2006icdm,
	author="T. Li and C. Ding",
	title="The Relationships among Various Nonnegative Matrix Factorization Methods for Clustering",
	booktitle=icdm,
	address="Hong Kong",
	year=2006
}

@article{DingC2008csda,
	author="C. Ding and T. Li and W. Peng",
	title="On the Equivalence between Non-Negative Matrix Factorization and Probabilistic Latent Semantic Indexing",
	pages="3913--3927",
	journal="Computational Statistics and Data Analysis",
	volume=52,
	year=2008
}

@article{DingC2010ieeetpami,
	author="C. Ding and T. Li and M. I. Jordan",
	title="Convex and Semi-Nonnegative Matrix Factorizations",
	pages="45--55",
	journal=ieeetpami,
	volume=32,
	number=1,
	year=2010
}

@article{DingZ91ieeetcom,
	author="Z. Ding and R. A. Kennedy and B. D. O. Anderson and C. R. Johnson, Jr.",
	title="Ill Convergence of {Godard} Blind Equalizers in Data Communications",
	pages="1313--1328",
	journal=ieeetcom,
	volume=39 ,
	year=1991
}

@article{DietterichTG97ai,
	author="T. G. Dietterich and R. H. Lathrop and T. {Lozano-P\'erez}",
	title="Solving the Multiple Instance Problem with Axis-Parallel Rectangles",
	pages="31--71",
	journal="Artificial Intelligence",
	volume=89,
	year=1997
}

@article{DomeniconiC2002ieeetpami,
	author="C. Domeniconi and J. Peng and D. Gunopulos",
	title="Locally Adaptive Metric Nearest-Neighbor Classificaton",
	pages="1281--1285",
	journal=ieeetpami,
	volume=24,
	year=2002
}

@inproceedings{DomingosP99kdd,
	author="P. Domingos",
	title="{MetaCost}: A General Method for Making Classifiers Cost-Sensitive",
	pages="155--164",
	booktitle=kdd,
	year=1999
}

@incollection{DonohoDL81,
	author="D. L. Donoho",
	title="On Minimum Entropy Deconvolution",
	pages="565--609",
	booktitle="Applied Time-series Analysis {II}",
	year=1981
}

@article{DonohoDL2003pnas,
	author="D. L. Donoho",
	title="Hessian Eigenmaps: Locally Linear Embedding Techniques for High-Dimensional Data",
	pages="5591--5596",
	journal=pnas,
	volume=100,
	number=10,
	year=2003
}

@inproceedings{DonohoDL2003nips,
	author="D. L. Donoho and V. Stodden",
	title="When Does Nonnegative Matrix Facotrization Give a Correct Decomposition into Parts?",
	booktitle=nips,
	volume=16,
	publisher="MIT Press",
	year=2004
}

@article{DonohoDL2006ieeetit,
	author="D. L. Donoho",
	title="Compressed Sensing",
	journal=ieeetit,
	volume=52,
	number=4,
	pages="1289--1306",
	year=2006
}

@article{DornhegeG2006ieeetbme,
	author="G. Dornhege and B. Blankertz and M. Krauledat and F. Losch and G. Curio and K. -R. M{\"u}ller",
	title="Combined Optimization of Spatial and Temporal Filters for Improving Brain-Computer Inferfacing",
	pages="2274--2281",
	journal=ieeetbme,
	volume=53,
	number=11,
	year=2006
}

@book{DornhegeG2007book,
	author="G. Dornhege and J. del R. Millan and T. Hinterberger and D. McFarland and K. -R. M{\"u}ller",
	title="Toward Brain-Computer Interfacing",
	publisher="MIT Press",
	year=2007
}

@article{DoucetA2000sac,
	author="A. Doucet and S. Godsill and C. Andrieu",
	title="On Sequential {Monte Carlo} Sampling Methods for {Bayesian} Filtering",
	pages="197--208",
	journal="Statistics and Computing",
	volume=10,
	year=2000
}

@inproceedings{DoucetA2000uai,
	author="A Doucet and N. {de Freitas} and K. Murphy and S. Russell",
	title="{Rao-Blackwellised} Particle Filtering for Dynamic {Bayesian} Networks",
	pages="176--183",
	booktitle=uai,
	year=2000
}

@article{DouglasSC96el,
	author="S. C. Douglas and A. Cichocki and S. Amari",
	title="Fast Convergence Filtered-Regressor Algorithms for Blind Equalization",
	pages="2114--2115",
	journal=el,
	volume=39,
	number=23,
	year=1996
}

@article{DouglasSC97ieeetsp,
	author="S. C. Douglas and A. Cichocki",
	title="Neural Networks for Blind Decorrelation of Signals",
	pages="2829--2842",
	journal=ieeetsp,
	volume=45,
	number=11,
	year=1997
}

@inproceedings{DouglasSC97nnsp,
	author="S. C. Douglas and A. Cichocki and S. Amari",
	title="Multichannel Blind Separation and Deconvolution of Sources with Arbitrary Distributions",
	pages="436--445",
	editor="J. Principe and L. Gile and N. Morgan and E. Wilson",
	booktitle=nnsp7,
	year=1997
}

@inproceedings{Doshi-VelezF2009aistats,
	author="F. {Doshi-Velez} and K. T. Miller and J. V. Gael and Y. W. Teh",
	title="Variational Inference for the {Indian} Buffet Process",
	booktitle=aistats,
	address="Clearwater Beach, Florida, USA",
	year=2009
}

@misc{DosovitskiyA2016arxiv,
	author="A. Dosovitskiy and T. Brox",
	title="Generating Images with Perceptual Similarity Metrics based on Deep Networks",
	note="{\em Preprint arXiv:1602.02644}",
	year=2016
}

@inproceedings{DouglasSC98nnsp,
	author="S. C. Douglas and S. Y. Kung",
	title="{KuicNet} Algorithms for Blind Deconvolution",
	booktitle=nnsp,
	pages="3--12",
	address="Cambridge, UK",
	year=1998
}

@book{DoylePG84book,
	author="P. G. Doyle and J. {Laurie Snell}",
	title="Random Walks and Electric Networks",
	publisher="The Mathematical Association of America, Inc.",
	year=1984
}

@article{DrineasP2005jmlr,
	author="P. Drineas and M. W. Mahoney",
	title="On the {Nystr\"{o}m} Method for Approximating a Gram Matrix for Improved Kernel-Based Learning",
	pages="2153--2175",
	journal=jmlr,
	volume=6,
	year=2005
}

@article{DrineasP2006siamjc-a,
	author="P. Drineas and R. Kannan and M. W. Mahoney",
	title="Fast {Monte Carlo} Algorithms for Matrices {I}: Approximating Matrix Multiplication",
	pages="132--157",
	journal="SIAM Journal on Computing",
	volume=36,
	number=1,
	year=2006
}

@article{DrineasP2006siamjc-b,
	author="P. Drineas and R. Kannan and M. W. Mahoney",
	title="Fast {Monte Carlo} Algorithms for Matrices {II}: Computing a Low-Rank Approximation to a Matrix",
	pages="158--183",
	journal="SIAM Journal on Computing",
	volume=36,
	number=1,
	year=2006
}

@article{DrineasP2006siamjc-c,
	author="P. Drineas and R. Kannan and M. W. Mahoney",
	title="Fast {Monte Carlo} Algorithms for Matrices {III}: Computing a Compressed Approximate Matrix Decomposition",
	pages="184--206",
	journal="SIAM Journal on Computing",
	volume=36,
	number=1,
	year=2006
}

@article{DrineasP2008siamjmaa,
	author="P. Drineas and M. W. Mahoney and S. Muthukrishnan",
	title="Relative-Error {CUR} matrix Decompositions",
	pages="844-881",
	journal="SIAM Journal on Matrix Analysis and Applications",
	volume=30,
	number=2,
	year=2008
}

@inproceedings{DrostI2005gfkl,
	author="I. Drost and S. Bickel and T. Scheffer",
	title="Discovering Communities in Linked Data by Multi-View Clustering",
	booktitle="Proceedings of Aunnual Conference on the German Classification Society",
	year=2005
}

@article{DuchiJ2011jmlr,
	author="J. Duchi and E. Hazan and Y. Singer",
	title="Adaptive Subgradient Methods for Online Learning and Stochastic Optimization",
	pages="2121--2159",
	journal=jmlr,
	volume=12,
	year=2011
}

@book{DudaRO73book,
	author="R. O. Duda and P. E. Hart",
	title="Pattern Classification and Scene Analysis",
	publisher="John Wiley {\&} Sons",
	year=1973
}

@book{DudaRO2001book,
	author="R. O. Duda and P. E. Hart and D. G. Stork",
	title="Pattern Classification",
	publisher="John Wiely {\&} Sons",
	year=2001
}

@book{DuffinRJ67book,
	author="R. J. Duffin and E. L. Peterson and C. Zener",
	title="Geometric Programming: Theory and Applications",
	publisher="John Wiely {\&} Sons",
	year=1967
}

@inproceedings{DuffnerS2014icassp,
	author="S. Duffner and S. Berlemont and G. Lefebvre and C. Garcia",
	title="{3D} Gesture Classification with Convolutional Neural Networks",
	booktitle=icassp,
	address="Florence, Italy",
	year=2014
}

@inproceedings{Duraiswami2005icassp,
	author="R. Duraiswami and V. C. Raykar",
	title="The Manifolds of Spatial Hearing",
	booktitle=icassp,
	pages="285--288",
	year=2005
}

@article{EbrahimiT2003ieeespm,
	author="T. Ebrahimi and J. {-F.} Vesin and G. Garcia",
	title="Brain-Computer Interface in Multimedia Communication",
	pages="14--24",
	journal=ieeespm,
	volume=20,
	number=1,
	month="Jan.",
	year=2003
}

@inproceedings{EckD2007nips,
	author="D. Eck and P. Lamere and T. Bertin-Mahieux and S. Green",
	title="Automatic Generation of Social Tags for Music Recommendation",
	booktitle=nips,
	volume=20,
	year=2008
}

@article{Edelman,
	author="A. Edelman and T. Arias and S. T. Smith",
	title="The Geometry of Algorithms with Orthogonality Constraints",
	pages="303--353",
	journal=siamjmaa,
	volume=20,
	number=2,
	year=1998
}

@article{EftekhariA2011sp,
	author="A. Eftekhari and M. {Babaie-Zadeh} and H. A. Moghaddam",
	title="Two-Dimensional Random Projection",
	pages="1589--1603",
	journal="Signal Processing",
	volume=91,
	year=2011
}

@inproceedings{EggertJ2004ijcnn,
	author="J. Eggert and H. Wersing and E. {K\"orner}",
	title="Transformation-invariant representation and {NMF}",
	booktitle=ijcnn,
	year=2004
}

@article{Ehlers97ieeetsp,
	author="F. Ehlers and H. G. Schuster",
	title="Blind Separation of Convolutive Mixtures and an Application in Automatic Speech Recognition in Noisy Environment",
	pages="2608--2612",
	journal=ieeetsp,
	volume=45,
	year="to appear"
}

@inproceedings{EisensteinJ2011icml,
	author="J. Eisenstein and A. Ahmed and E. P. Xing",
	title="Sparse Additive Generative Models of Text",
	booktitle=icml,
	address="Bellevue, WA, USA",
	year=2011
}

@inproceedings{ElisseeffA2001nips,
	author="A. Elisseeff and J. Weston",
	title="A Kernel Method for Multi-Labeled Classification",
	pages="681--687",
	booktitle=nips,
	volume=14,
	year=2002
}

@techreport{ElisseeffA2001tr,
	author="A. Elisseeff and J. Weston",
	title="Kernel Methods for Multi-Labelled Classification and Categorical Regression Problems",
	institution="BIOwulf Technologies",
	year=2001
}

@article{EngHL2010ieeetbme,
	author="H. {-L.} Eng and C. Guan and K. N. Plataniotis",
	title="Regularized Common Spatial Pattern With Aggregation for {EEG} Classification in Small-Sample Setting",
	pages="2936--2946",
	journal=ieeetbme,
	volume=57,
	number=12,
	year=2010
}

@article{EngelY2004ieeetsp,
	author="Y. Engel and S. Mannor and R. Meir",
	title="The Kernel Recursive Least-Sqaures Algorithm",
	pages="2275--2285",
	journal=ieeetsp,
	volume=52,
	number=8,
	year=2004
}

@article{EphraimY93ieeetassp,
	author="Y. Ephraim and H. L. Van Trees",
	title="A Signal Subspace Approach for Speech Enhancement",
	pages="355--358",
	journal=ieeetassp,
	volume=2,
	month="Apr.",
	year=1993
}

@article{EscobarMD95jasa,
	author="M. D. Escobar and M. West",
	title="{Bayesian} Density Estimation and Inference using Mixtures",
	pages="577--588",
	journal="Journal of the American Statistical Association",
	volume=90,
	year=1995
}

@inproceedings{Etemad96icassp,
	author="K. Etemad and R. Chellappa",
	title="Face Recognition Using Discriminant Eigenvectors",
	pages="2148--2151",
	booktitle=icassp,
	year=1996
}

@book{EverittBS74book,
	author="B. S. Everitt",
	title="Cluster Analysis",
	publisher="John Wiley \& Sons",
	address="New York",
	year=1974
}

@article{EverittBS88spl,
	author="B. S. Everitt",
	title="A Finite Mixture Model for the Clustering of Mixed-Mode Data",
	pages="305--309",
	journal="Statistics \& Probability Letters",
	volume=6,
	number=5,
	year=1988
}

@article{FaberNM2003cils,
	author="N. M. Faber and R. Bro and P. K. Hopke",
	title="Recent Developments in {CANDECOMP/PARAFAC} Algorithms: A Critical Review",
	pages="119--137",
	journal=cils,
	volume=65,
	year=2003
}

@inproceedings{FaloutsosC95sigmod,
	author="C. Faloutsos and K. Lin",
	title="{FastMap:} A Fast Algorithm for Indexing, Data-Mining and Visualization",
	pages="163--174",
	booktitle=sigmod,
	year=1995
}

@article{FanJ2011as,
	author="J. Fan and Y. Liao and M. Mincheva",
	title="High-Dimensional Covariance Matrix Estimation in Approximate Factor Models",
	pages="3320--3356",
	journal="The Annals of Statistics",
	volume=39,
	number=6,
	year=2011
}

@techreport{FanRE2007tr,
	author="R. -E. Fan and C. -J. Lin",
	title="A Study on Threshold Selection for Multi-Label Classification",
	institution="Department of Computer Science, National Taiwan University",
	year=2007
}

@article{FanRE2008jmlr,
	author="R. -E. Fan and K. -W. Chang and C. -J. Hsieh and X. -R. Wang and C. -J. Lin",
	title="{LIBLINEAR}: A Library for Large Linear Classification",
	pages="1871--1874",
	journal=jmlr,
	volume=9,
	year=2008
}

@article{FavaroS2013ss,
	author="S. Favaro and Y. W. Teh",
	title="{MCMC} for Normalized Random Measure Mixture Models",
	pages="335-359",
	journal="Statistical Science",
	volume=28,
	number=3,
	year=2013
}

@techreport{FawcettT2004tr,
	author="T. Fawcett",
	title="{ROC} Graphs: Notes and Practical Considerations for Researchers",
	number="HPL-2003-4",
	institution="HP Laboratories",
	year=2004
}

@inproceedings{FazelM2001acc,
	author="M. Fazel and H. Hindi and S. P. Boyd",
	title="A Rank Minimization Heuristic with Application to Minimum Order System Approximation",
	booktitle="Proceedings of the 2001 American Control Conference",
	year=2001
}

@phdthesis{FazelM2002thesis,
	author="M. Fazel",
	title="Matrix Rank Minimization with Applications",
	school="Stanford University",
	year=2002
}

@inproceedings{FeiFeiL2004cvprw,
	author="L. Fei-Fei and R. Fergus and P. Perona",
	title="Learning Generative Visual Models from Few Training Examples: An Incremental {Bayesian} Approach Tested on 101 Object Categories",
	booktitle="Proceedings of the IEEE CVPR-2004 Workshop on Generative-Model Based Vision",
	year=2004
}

@inproceedings{FeiFeiL2005cvpr,
	author="L. Fei-Fei and P. Perona",
	title="A {Bayesian} Hierarchical Model for Learning Natural Scene Categories",
	booktitle=cvpr,
	address="San Diego, CA",
	year=2005
}

@article{FelzenswalbPF2004ijcv,
	author="P. F. Felzenszwalb and D. P. Huttenlocher",
	title="Efficient Graph-Based Image Segmentation",
	pages="167--181",
	journal=ijcv,
	volume=59,
	number=2,
	year=2004
}

@inproceedings{FergusR2003cvpr,
	author="R. Fergus and P. Perona and A. Zisserman",
	title="Object Class Recognition by Unsupervised Scale-Invariant Learning",
	booktitle=cvpr,
	address="Madison, Wisconsin, USA",
	year=2003
}

@inproceedings{FergusR2009nips,
	author="R. Fergus and Y. Weiss and A. Torralba",
	title="Semi-supervised Learning in Gigantic Image Collections",
	booktitle=nips,
	volume=22,
	publisher="MIT Press",
	year=2009
}

@article{FergusonTS73as,
	author="T. S. Ferguson",
	title="A {Bayesian} Analysis of Some Nonparametric Problems",
	pages="209--230",
	journal="The Annals of Statistics",
	volume=1,
	number=2,
	year=1973
}

@inproceedings{FernXZ2003icml,
	author="X. Z. Fern and C. E. Brodley",
	title="Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach",
	booktitle=icml,
	address="Washington DC",
	year=2003
}

@inproceedings{FeurerM2015aaai,
	author="M. Feurer and J. T. Springerberg and F. Hutter",
	title="Initializing {Bayesian} Hyperparameter Optimization via Meta-Learning",
	booktitle=aaai,
	pages="1128--1135",
	address="Austin, Texas, USA",
	year=2015
}

@book{FiaccoAV68book,
	author="Anthony V. Fiacco and Garth P. McCormick",
	title="Nonlinear Programming: Sequential Unconstrained Minimization Techniques",
	publisher="Jhon Wiley and Sons",
	year=1968
}

@article{FiedlerM75,
	author="M. Fiedler",
	title="A Property of Eigenvectors of Nonnegative Symmetric Matrices and Its Application to Graph Theory",
	pages="619--633",
	journal="Czechoslovak Math. Journal",
	volume=25,
	number=2,
	year=1975
}

@article{Field94nc,
	author="D. J. Field",
	title="What is the Goal of Sensory Coding?",
	pages="559--601",
	journal=nc,
	volume=6,
	number=4,
	year=1994
}

@inproceedings{FigueiredoMAT2001nips,
	author="M. A. T. Figueiredo",
	title="Adpative Sparseness using {Jeffreys} Prior",
	booktitle=nips,
	volume=14,
	year=2002
}

@article{FigueiredoMAT2003ieeetpami,
	author="M. A. T. Figueiredo",
	title="Adaptive Sparseness for Supervised Learning",
	pages="1150--1159",
	journal=ieeetpami,
	volume=25,
	number=9,
	year=2003
}

@article{Fijalkow97ieeetsp,
	author="I. Fijalkow and A. Touzni and J. R. Treichler",
	title="Fractionally Spaced Equalizer Using {CMA}: Robustness to Channel Noise and Lack of Diversity",
	pages="56--66",
	journal=ieeetsp,
	volume=45,
	number=1,
	year=1997
}

@inproceedings{Fijalkow99ica,
	author="I. Fijalkow and P. Gaussier",
	title="Self-organizing Blind {MIMO} Deconvolution Using Lateral Inhibition",
	pages="221--226",
	booktitle=ica99,
	address="Aussois, France",
	year=1900
}

@article{FinkJL2007nac,
	author="J. L. Fink and R. N. Aturaliya and M. J. Davis and F. Zhang F and K. Hanson and M. S. Teasdale and C. Kai and J. Kawai J and P. Carninci and Y. Hayashizaki and R. D. Teasdale",
	title="{LOCATE:} A Mouse Protein Subcellular Localization Database",
	journal="Nucleic Acids Res.",
	volume=37,
	number=9,
	year=2007
}

@article{FioriS2005jmlr,
	author="S. Fiori",
	title="Quasi-Geodesic Neural Learning Algorithms over the Orthogonal Group: A Tutorial",
	pages="743--781",
	journal=jmlr,
	volume=6,
	year=2005
}

@book{FischBJ99book,
	author="B. J. Fisch",
	title="Fisch and {Spehlmann's} {EEG} Primer",
	edition=3,
	publisher="Elsevier",
	year=1999
}

@article{Fisher36,
	author="R. A. Fisher",
	title="The Use of Multiple Measurements in Taxonomic Problems",
	pages="179--188",
	journal="Annals of Eugenics",
	volume=7,
	year=1936
}

@inproceedings{FitzGeraldD2003aes,
	author="D. FitzGerald and B. Lawlor and E. Coyle",
	title="Prior Subspace Analysis for Drum Transcription",
	booktitle="Proceedings of the Audio Engineering Society Convention",
	address="Amsterdam, The Netherlands",
	year=2003
}

@inproceedings{FitzGeraldD2005ieeewssp,
	author="D. FitzGerald and M. Cranitch and E. Coyle",
	title="Shifted Nonnegative Matrix Factorisation for Sound Source Separation",
	booktitle="Proceeding of the IEEE Workshop on Statistical Signal Processing",
	address="Bordeaux, France",
	year=2005
}

@inproceedings{FitzGeraldD2006icassp,
	author="D. FitzGerald and M. Cranitch and E. Coyle",
	title="Sound Source Separation using shifted Non-negative Tensor Factorisation",
	booktitle=icassp,
	address="Toulouse, France",
	year=2006
}

@article{FitzgibbonSP2004cn,
	author="S. P. Fitzgibbon and K. J. Pope and L. Mackenzie and C. R. Clark and J. O. Willoughby",
	title="Cognitive Tasks Augment Gamma {EEG} Power",
	pages="1802--1809",
	journal=cn,
	volume=115,
	number=8,
	year=2004
}

@article{FletcherR64,
	author="R. Fletcher and C. M. Reeves",
	title="Function Minimization by Conjugate Gradients",
	pages="149--154",
	journal="Computer Journal",
	volume=7,
	year=1964
}

@book{FletcherR2000book,
	author="R. Fletcher",
	title="Practical Methods of Optimization",
	publisher="Wiley",
	year=2000

}

@inproceedings{Foldiak89ijcnn,
	author="P. {F\"oldi\'ak}",
	title="Adaptive Network for Optimal Linear Feature Extraction",
	pages="401--405",
	booktitle=ijcnn,
	year=1989
}


@article{Foldiak90biocyb,
	author="P. {F\"oldi\'ak}",
	title="Forming Sparse Representations by Local Anti-Hebbian Learning",
	pages="165--170",
	journal=biocyb,
	volume=64,
	year=1990
}

@phdthesis{Foldiak92phd,
	author="P. {F\"oldi\'ak}",
	title="Models of Sensory Coding",
	school="University of Cambridge",
	year=1992
}

@article{Forney73procieee,
	author="G. D. Forney",
	title="The {Viterbi} Algorithm",
	pages="268--278",
	journal="Proceedings of the IEEE",
	volume=61,
	year=1973
}

@inproceedings{FotiNJ2013aistats,
	author="N. J. Foti and J. D. Futoma and D. N. Rockmore and S. A. Williamson",
	title="A Unifying Representation for a Class of Dependent Random Measures",
	booktitle=aistats,
	address="Scottsdale, AZ, USA",
	year=2013
}

@inproceedings{FoussF2005wi,
	author="F. Fouss and A. Pirotte and M. Saerens",
	title="A Novel Way of Computing Similarities between Nodes of a Graph, with Application to Collaborative Recommendation",
	pages="550--556",
	booktitle="Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence",
	year=2005
}

@article{FoussF2007ieeetkde,
	author="F. Fouss and A. Pirotte and J. {-M.} Renders and M Saerens",
	title="Random-Walk Computation of Similarities between Nodes of a Graph with Application to Collaborative Recommendation",
	pages="355--369",
	journal=ieeetkde,
	volume=19,
	number=3,
	year=2007
}

@inproceedings{FowlkesC2001cvpr,
	author="C. Fowlkes and S. Belongie and J. Malik",
	title="Efficient Spatiotemporal Grouping using the {Nystr\"om} Method",
	booktitle=cvpr,
	address="Kauai, Hawaii, USA",
	year=2001
}

@article{FowlkesC2004ieeetpami,
	author="C. Fowlkes and S. Belongie and F. Chung and J. Malik",
	title="Spectral Grouping using the {Nystr\"om} Method",
	pages="214--225",
	journal=ieeetpami,
	volume=26,
	number=2,
	year=2004
}

@inproceedings{FoygelR2011nips,
	author="R. Foygel and R. Salakhutdinov and O. Shamir and N. Srebro",
	title="Learning with the Weighted Trace-norm under Arbitrary Sampling Distributions",
	booktitle=nips,
	volume=24,
	publisher="MIT Press",
	year=2011
}

@book{FrackowiacRSJ2003book,
	author="R.S.J. Frackowiak and J. T. Ashburner and W. D. Penny and S. Zeki",
	title="Human Brain Function",
	edition=2,
	publisher="Academic Press",
	year=2003
}

@article{FrankM1956nrl,
	author="M. Frank and P. Wolfe",
	title="An Algorithm for Quadratic Programing",
	pages="95--110",
	journal="Naval Research Logistics",
	volume=3,
	year=1956
}

@article{FredmanML87jacm,
	author="M. L. Fredman and R. E. Tarjan",
	title="Fibonacci Heaps and their Uses in Improved Network Optimization Algorithms",
	pages="596--615",
	journal="Journal of the ACM",
	volume=34,
	number=3,
	year=1987
}

@inproceedings{FreitasN2001aeroconf,
	author="N. {de Freitas}",
	title="{Rao-Blackwellised} Particle Filtering for Fault Diagnosis",
	pages="1767--1772",
	booktitle="IEEE Aerospace Conference on",
	year=2001
}

@inproceedings{FreitasN2001uai,
	author="N. {de Freitas} and P. {H{\o}jen-S{\o}rensen} and M. I. Jordan and S. Russell",
	title="Variational {MCMC}",
	booktitle=uai,
	year=2001
}

@techreport{FriedmanJ96tr,
	author="J. Friedman",
	title="Another Approach to Polychotomous Classification",
	institution="Department of Statistics, Stanford University",
	year=1996
}

@inproceedings{FreyBJ98allerton,
	author="B. J. Frey and F. R. Kschischang and H. -A. Loeliger and N. Wiberg",
	title="Factor Graphs and Algorithms",
	booktitle="Proceedings of Allerton Conference on Communications, Control, and Computing",
	year=1998
}

@article{FreyBJ2007science,
	author="B. J. Frey and D. Dueck",
	title="Clustering by Passing Messages between Data Points",
	journal="Science",
	volume=315,
	month="February",
	year=2007
}

@article{FreundY97jcss,
	author="Y. Freund and R. E. Schapire",
	title="A Decision-Theoretic Generalizatoin of On-Line Learning and an Application to Boosting",
	pages="119--139",
	journal="Journal of Computer and System Sciences",
	volume=55,
	number=1,
	year=1997
}

@article{FreundY2003jmlr,
	author="Y. Freund and R. Iyer and R. E. Schapire and Y. Singer",
	title="An Efficient Boosting Algorithm for Combining Preferences",
	journal=jmlr,
	volume=4,
	pages="933--969",
	year=2003
}

@article{FreyBJ2001ieeetit,
	author="F. R. Kschischang and B. J. Frey and H. A. Loeliger",
	title="Factor Graphs and the Sum-Product Algorithm",
	pages="498--519",
	journal=ieeetit,
	volume=47,
	number=2,
	year=2001
}

@techreport{FriedlanderMP2006tr,
	author="M. P. Friedlander and K. Hatz",
	title="Computing Nonnegative Tensor Factorizations",
	number="2006-21",
	institution="Department of Computer Science, University of British Columbia",
	year=2006
}

@article{FriedmanJH77acmtoms,
	author="J. H. Friedman and J. L. Bentley and R. A. Finkel",
	title="An Algorithm for Finding Best Matches in Logarithmic Expected Time",
	pages="209--226",
	journal=acmtoms,
	volume=3,
	number=3,
	year=1977
}

@article{FriedmanJH89jasa,
	author="J. H. Friedman",
	title="Regularized Discriminant Analysis",
	pages="165--175",
	journal="Journal of the American Statistical Association",
	volume=84,
	number=405,
	year=1989
}

@article{FriedmanJ2010jss,
	author="J. Friedman and T. Hestie and R. Tibshirani",
	title="Regularization Paths for Generalized Linear Models via Coordinate Descent",
	journal="Journal of Statistical Software",
	volume=33,
	number=1,
	year=2010
}

@article{FriedmanN97ml,
	author="N. Friedman and D. Geiger and M. Goldszmidt",
	title="Bayesian Network Classifiers",
	pages="131--163",
	journal="Machine Learning",
	year=1997
}

@article{FriezeA97algorithmica,
	author="A. Frieze and M. Jerrum",
	title="Improved Approximation Algorithms for {MAX k-CUT} and {MAX BISECTION}",
	pages="61--77",
	journal="Algorithmica",
	volume=18,
	year=1997
}

@article{FriezeA2004jacm,
	author="A. Frieze and R. Kannan and S. Vempala",
	title="Fast {Monte-Carlo} Algorithms for Finding Low-Rank Approximations",
	pages="1025--1041",
	journal=jacm,
	volume=51,
	number=6,
	year=2004
}

@article{FrenkelL99ieeetsp,
	author="L. Frenkel and M. Feder",
	title="Recursive Expectation-Maximization {(EM)} Algorithms for Time-Varying Parameters with Applications to Multiple Target Tracking",
	pages="306--320",
	journal=ieeetsp,
	volume=47,
	year=1999
}

@article{Fukunaga70ieeetc,
	author="K. Fukunaga and W. L. G. Koontz",
	title="Application of the {Karhunen-Lo\`eve} Expansion to Feature Selection and Ordering",
	pages="311--318",
	journal=ieeetc,
	volume=19,
	number=4,
	year=1970
}

@book{Fukunaga90,
	author="K. Fukunaga",
	title="An Introduction to Statistical Pattern Recognition",
	publisher="Academic Press",
	address="New York, NY",
	year=1990
}

@article{Fyfe2000npl,
	author="P. L. Lai and C. Fyfe",
	title="Simultaneous Identification of Face and Orientation",
	pages="33--40",
	journal=npl,
	volume=12,
	number=1,
	year=2000
}

@article{GabrielKR79technometrics,
	author="K. R. Gabriel and S. Zamir",
	title="Lower Rank Approximation of Matrices by Least Squares with Any Choice of Weights",
	pages="489--497",
	journal="Technometrics",
	volume=21,
	number=4,
	year=1979
}

@misc{GalY2015arxiv,
	author="Y. Gal and Z. Ghahramani",
	title="Dropout as a {Bayesian} Approximation: Representing Model Uncertainty in Deep Learning",
	note="{\em Preprint arXiv:1506.02142}",
	year=2015
}

@inproceedings{GalY2015icml,
	author="Y. Gal and Y. Chen and Z. Ghahramani",
	title="Latent {Gaussian} Processes for Distribution Estimation of Multivariate Categorical Data",
	booktitle=icml,
	address="Lille, France",
	year=2015
}

@article{Gannot98ieeetsap,
	author="S. Gannot and D. Burshtein and E. Weinstein",
	title="Iterative and Sequential {Kalman} Filter-Based Speech Enhancement Algorithms",
	pages="373--385",
	journal=ieeetsap,
	volume=6,
	year=1998
}

@manual{GarciaF2010man,
	author="F. Garcia and A. Alcaraz",
	title="Tests to Identify Outliers in Data Series",
	year=2010
}

@inproceedings{GartnerT2002icml,
	author="T. {G\"atner} and P. A. Flach and A. Kowalczyk and A. J. Smola",
	title="Multi-Instance Kernels",
	booktitle=icml,
	pages="179--186",
	address=venue-icml-2002,
	year=2002
}

@inproceedings{GaoB2006icdm,
	author="B. Gao and T.-Y. Liu and W.-Y. Ma",
	title="Star-Structured High-Order Heterogeneous Data Co-clustering Based on Consistent Information Theory",
	booktitle=icdm,
	address="Hong Kong",
	year=2006
}

@inproceedings{GarckeJ2005icml,
	author="J. Garcke and M. Griebel",
	title="Semi-Supervised Learning with Sparse Grids",
	pages="19--28",
	booktitle="Proceedings of ICML, Workshop on Learning with Partially Classified Training Data",
	year=2005
}

@inproceedings{GaussierE2002ecir,
	author="E. Gaussier and C. Goutte and K. Popat and F. Chen",
	title="A Hierarchical Model for Clustering and Categorising Documents",
	booktitle="Proceedings of the 24th BCS-IRSG European Colloquium on IR Research (ECIR-02)",
	address="Glasgow, UK",
	year=2002
}

@inproceedings{GaussierE2005sigir,
	author="E. Gaussier and C. Goutte",
	title="Relation between {PLSA} and {NMF} and Implications",
	booktitle=sigir,
	address="Salvador, Brazil",
	year=2005
}

@book{Gazzaniga,
	author="M. S. Gazzaniga and R. B. Ivry and G. R. Mangum",
	title="Cognitive Neuroscience: The Biology of the Mind",
	publisher="W. W. Norton \& Company",
	address="New York",
	year=2001
}

@article{GdalyahuY2001ieeetpami,
	author="Y. Gdalyahu and D. Weinshall and M. Werman",
	title="Self-Organization in Vision: Stochastic Clustering for Image Segmentation, Perceptual Grouping, and Image Database Organization",
	pages="1053--1074",
	journal=ieeetpami,
	volume=23,
	number=10,
	year=2001
}

@inproceedings{GemullaR2011kdd,
	author="R. Gemulla and P. J. Hass and E. Nijkamp and Y. Sismanis",
	title="Large-Scale Matrix Factorization with Distributed Stochastic Gradient Descent",
	booktitle=kdd,
	address="San Diego, CA, USA",
	year=2011
}

@article{GeorghiadesAS2001ieeetpami,
	author="A. S. Georghiades and P. N. Belhumeur and D. J. Kriegman",
	title="From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose",
	pages="643--660",
	journal=ieeetpami,
	volume=23 ,
	number=6,
	year=2001
}

@article{GemanS84ieeetpami,
	author="S. Geman and D. Geman",
	title="Stochastic Relaxation, {Gibbs} Distributions and the {Bayesian} Restoration of Images",
	pages="721--741",
	journal=ieeetpami,
	volume=6,
	year=1984
}

@inproceedings{GetoorL2007webkdd,
	author="L. Getoor and M. Sahami",
	title="Using Proabilistic Relational Models for Collaborative Filtering",
	booktitle="Proceeding of WEBKDD",
	year=2007
}

@techreport{GhahramaniZ96tr,
	author="Z. Ghahramani and G. E. Hinton",
	title="Parameter Estimation for Linear Dynamical Systems",
	number="CRG-TR-96-2",
	institution="Department of Computer Science, University of Toronto",
	year=1996
}

@techreport{GhahramaniZ97tr,
	author="Z. Ghahramani and G. E. Hinton",
	title="The {EM} Algorithm for Mixtures of Factor Analyzers",
	number="CRG-TR-96-1",
	institution="Department of Computer Science, University of Toronto",
	year=1997
}

@inproceedings{GhahramaniZ99nips,
	author="Z. Ghahramani and M. J. Beal",
	title="Variational Inference for {Bayesian} Mxitures of Factor Analysers",
	booktitle=nips,
	volume=12,
	year=2000
}

@article{GhahramaniZ2001jprai,
	author="Z. Ghahramani",
	title="An Introduction to Hidden {Markov} Models and {Bayesian} Networks",
	pages="9--42",
	journal=jprai,
	volume=15,
	number=1,
	year=2001
}

@inproceedings{GhamrawiN2005cikm,
	author="N. Ghamrawi and A. McCallum",
	title="Collective Multi-Label Classification",
	pages="195--200",
	booktitle=cikm,
	year=2005
}

@inproceedings{GhodsiA2007ijcai,
	author="A. Ghodsi and D. F. Wilkinson and F. Southey",
	title="Improving Embeddings by Flexible Exploitation of Side Information",
	booktitle=ijcai,
	address="Hyderabad, India",
	year=2007
}

@inproceedings{GhoshS2011nips,
	author="S. Ghosh and A. B. Ungureanu and E. B. Sudderth and D. M. Blei",
	title="Spatial Distance Dependent {Chinese} Restaurant Processes for Image Segmentation",
	booktitle=nips,
	volume=24,
	year=2011
}

@article{Ghosh-Dastidar2007icae,
	author="S. {Ghosh-Dastidar} and H. Adeli",
	title="Improved Spiking Neural Networks for {EEG} Classification and Epilepsy and Seizure Detection",
	journal="Integrated Computer-Aided Engineering",
	volume=14,
	number=3,
	year=2007
}

@phdthesis{GibbsMN97phd,
	author="M. N. Gibbs",
	title="{Bayesian} {Gaussian} Processes for Regression and Classification",
	school="University of Cambridge",
	year=1997
}

@article{GibsonJD91ieeetsp,
	author="J. D. Gibson and B. Koo and S. D. Gray",
	title="Filtering of Colored Noise for Speech Enhancement and Coding",
	pages="1732--1742",
	journal=ieeetsp,
	volume=39,
	year=1991
}

@book{GilksWR96book,
	author="W. R. Gilks and S. Richardson and D. J. Spiegelhalter",
	title="Markov Chain Monte Carlo in Practice",
	publisher="CRC Press",
	year=1996
}

@inproceedings{GilletO2005waspaa,
	author="O. Gillet and G. Richard",
	title="Extraction and Remixing of Drum Tracks from Polyphonic Music Signals",
	booktitle="Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",
	address="New Paltz, NY",
	year=2005
}

@article{GilletO2008ieeetaslp,
	author="O. Gillet and G. Richard",
	title="Transcription and Separation of Drum Signals from Polyphonic Music",
	journal=ieeetaslp,
	volume=16,
	pages="529--540",
	year=2008
}

@book{GillPE81,
	author="P. E. Gill and W. Murray and M. H. Wright",
	title="Practical Optimization",
	publisher="Academic Press",
	address="New York",
	year=1981
}

@inproceedings{GionisA99vldb,
	author="A. Gionis and P. Indyk and R. Motawani",
	title="Similarity Search in High Dimensions via Hashing",
	booktitle=vldb,
	year=1999
}

@article{GirolamiM96npl,
	author="M. Girolami and C. Fyfe",
	title="A Temporal Model of Linear Anti-{Hebbian} Learning",
	pages="139--148",
	journal=npl,
	volume=4,
	number=3,
	year=1996
}

@inproceedings{GirolamiM97icnn,
	author="M. Girolami and C. Fyfe",
	title="Generalized Independent Component Analysis through Unsupervised Learning with Emergent {Bussgang} Properties",
	pages="1788--1791",
	booktitle=icnn,
	year=1997
}

@article{GirolamiM98nc,
	author="M. Girolami",
	title="An Alternative Perspective on Adaptive Independent Component Analysis Algorithms",
	pages="2103--2114",
	journal=nc,
	volume=10,
	number=8,
	year=1998
}

@inproceedings{GirolamiM99ica,
	author="M. Girolami",
	title="Hierarchic Dichotomizing of Polychotomous Data - An {ICA} Based Data Mining Tool",
	pages="197--201",
	booktitle=ica99,
	year=1999
}

@article{GirolamiM2002ieeetnn,
	author="M. Girolami",
	title="Mercer Kernel-Based Clustering in Feature Space",
	pages="780--784",
	journal=ieeetnn,
	volume=13,
	number=3,
	year=2002
}

@article{GirolamiM2006nc,
	author="M. Girolami and S. Rogers",
	title="Variational {Bayesian} Multinomial Probit Regression with {Gaussian} Process Priors",
	pages="1790--1817",
	journal=nc,
	volume=18,
	number=8,
	year=2006
}

@inproceedings{Glotin99eurospeech,
	author="H. Glotin and F. Berthommier and E. Tessier",
	title="A {CASA}-Labelling Model Using the Localisation Cue for Robust Cocktail Party Speech Recongition",
	booktitle="Proceedings of EUROSPEECH",
	year=1999
}

@article{Godard80ieeetcom,
	author="D. N. Godard",
	title="Self-recovering Equalization and Carrier Tracking in Two-dimensional Data Communication Systems",
	journal=ieeetcom,
	volume=28,
	pages="1867--1875",
	year=1980
}

@inproceedings{GodboleS2004pakdd,
	author="S. Godbole and S. Sarawagi",
	title="Discriminative Methods for Multi-Labeled Classification",
	pages="22--30",
	booktitle=pakdd,
	year=2004
}

@article{GoemansMX95jacm,
	author="M. X. Goemans and D. P. Williamson",
	title="Improved Approximation Algorithms for Maximum Cut and Satisfiability Problems Using Semidefinite Programming",
	pages="1115--1145",
	journal=jacm,
	volume=42,
	number=6,
	year=1995
}

@phdthesis{GolbeckJA2005phd,
	author="J. A. Golbeck",
	title="Computing and Applying Trust in Web-Based Social Networks",
	school="University of Maryland, College Park",
	year=2005
}

@book{Gold2000,
	author="B. Gold and N. Morgan",
	title="Speech and Audio Signal Processing",
	publisher="John Wiely {\&} Sons, INC",
	year=2000
}

@article{GoldenbergA2010ftml,
	author="A. Goldenberg and A. X. Zheng and S. E. Fienberg and E. M. Airoldi",
	title="A Survey of Statistical Network Models",
	pages="129--233",
	journal=ftml,
	volume=2,
	number=2,
	year=2010
}

@inproceedings{GoldbergAB2007aistats,
	author="A. B. Goldberg and X. Zhu and S. Wright",
	title="Dissimilarity in Graph-Based Semi-Supervised Classification",
	booktitle=aistats,
	year=2007
}

@article{GoldbergD92cacm,
	author="D. Goldberg and D. Nichols and B. Oki and D. Terry",
	title="Using Collaborative Filtering to Weave Information Tapestry",
	pages="61--70",
	journal="Communications of the ACM",
	volume=35,
	year=1992
}

@article{GoldbergK2001ir,
	author="K. Goldberg and T. Roeder and D. Gupta and C. Perkins",
	title="Eigentaste: A Constant Time Collaborative Filtering Algorithm",
	pages="133--151",
	journal="Information Retrieval",
	volume=4,
	number=2,
	year=2001
}

@inproceedings{GoldbergerJ2004nips,
	author="J. Goldberger and S. Roweis and G. Hinton and R. Salakhutdinov",
	title="Neighborhood Component Analysis",
	booktitle=nips,
	volume=17,
	year=2005
}

@article{Golub73siam,
	author="G. Golub and V. Pereyra",
	title="The Differentiation of Pseudo-Inverses and Nonlinear Separable Least Squares Problems Whose Variables Separate",
	pages="413--432",
	journal="SIAM J. Num. Anal.",
	volume=10,
	year=1973
}

@book{GolubGH1996book,
	author="G. H. Golub and C. F. Van Loan",
	title="Matrix Computations",
	edition=3,
	publisher="Johns Hopkins University Press",
	year=1996
}

@article{GolubGH2002siamjsc,
	author="G. H. Golub and Q. Ye",
	title="An Inverse Free Preconditioned {Krylov} Subspace Method for Symmetric Generalized Eigenvalue Problems",
	pages="312--334",
	journal="SIAM Journal on Scientific Computing",
	volume=24,
	number=1,
	year=2002
}

@inproceedings{GomesR2010nips,
	author="R. Gomes and A. Krause and P. Perona",
	title="Discriminative Clustering by Regulaized Information Maximization",
	booktitle=nips,
	volume=23,
	year=2010
}

@inproceedings{GongY2011cvpr,
	author="Y. Gong and S. Lazebnik",
	title="Iterative Quantization: A Procrustean Approach to Learning Binary Codes",
	booktitle=cvpr,
	address="Colorado Springs, CO",
	year=2011
}

@inproceedings{GongY2013cvpr,
	author="Y. Gong and S. Kumar and H. A. Rowley and S. Lazebnik",
	title="Learning Binary Codes for High-Dimensional Data using Bilinear Projections",
	booktitle=cvpr,
	address="Portland, Oregon, USA",
	year=2013
}

@inproceedings{GoodfellowIJ2014neurips,
	author="I. J. Goodfellow and J. {Pouget-Abadie} and M. Mirza and B. Xu and D. {Warde-Farley} and S. Ozair and A. Courville and Y. Bengio",
	title="Generative Adversarial Nets",
	booktitle=neurips,
	volume=27,
	pages="2672--2680",
	year=2014,
	address=venue-neurips-2014
}

@article{GoreinovSA97laia,
	author="S. A. Goreinov and E. E. Tyrtyshnikov and N. L. Zamarashkin",
	title="A Theory of Pseudoskeleton Approximations",
	pages="1--21",
	journal="Linear Algebra and Its Applications",
	volume=261,
	year=1997
}

@article{Gorodnitsky97ieeetsp,
	author="I. F. Gorodonitsky and B. D. Rao",
	title="Sparse Signal Reconstructions from Limited Data Using {FOCUSS}: A Re-weighted Minimum Norm Algorithm",
	pages="600--616",
	journal=ieeetsp,
	volume=45,
	year=1997
}

@inproceedings{GoutteC2004acl,
	author="C. Goutte and K. Yamada and E. Gaussier",
	title="Aligning Words using Matrix Factorisation",
	booktitle="Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL)",
	address="Barcelona, Spain",
	year=2004
}

@article{GowdaKC78pr,
	author="K. C. Gowda and G. Krishna",
	title="Agglomerative Clustering Using the Concept of Mutual Nearest Neighborhood",
	pages="105--112",
	journal=pr,
	volume=10,
	year=1978
}

@article{GowerJC69appliedstats,
	author="J. C. Gower and G. J. S. Ross",
	title="Minimum Spanning Tree and Single-Linkage Cluster Analysis",
	pages="54--64",
	journal="Applied Statistics",
	volume=18,
	year=1969
}

@misc{GPyOpt2016software,
	author="{The GPyOpt authors}",
	title="{GPyOpt}: A {Bayesian} Optimization Framework in {Python}",
	howpublished="\url{https://github.com/SheffieldML/GPyOpt}",
	year=2016
}

@book{Gradshteyn94,
	author="I. S. Gradshteyn and I. M. Ryzhik and A. Jeffrey",
	title="Table of Integrals, Series, and Products",
	publisher="Academic Press",
	year=1994
}

@article{GramacyRB2008csda,
	author="R. B. Gramacy and H. Lee",
	title="{Gaussian} Processes and Limiting Linear Models",
	pages="123--136",
	journal="Computational Statistics and Data Analysis",
	volume=53,
	year=2008
}

@inproceedings{GraumanK2007cvpr,
	author="K. Grauman and T. Darrel",
	title="Pyramid Match Hashing: Sub-Linear Time Indexing over Partial Correspondece",
	booktitle=cvpr,
	year=2007
}

@inproceedings{GravesA2011nips,
	author="A. Graves",
	title="Practical Variational Inference for Neural Networks",
	booktitle=nips,
	volume=24,
	year=2011
}

@article{GrayAH76ieeetassp,
	author="A. H. {Gray Jr.} and J. D. Markel",
	title="Distance Measures for Speech Processing",
	pages="380-391",
	journal=ieeetassp,
	volume=28,
	number=4,
	year=1976
}

@misc{GriffinJE2011pre,
	author="J. E. Griffin",
	title="Sequential {Monte Carlo} Methods for Normalized Random Measure with Independent Increments Mixtures",
	note="Preprint",
	year=2011
}

@inproceedings{GriffithsTL2005nips,
	author="T. L. Griffiths and Z. Ghahramani",
	title="Infinite Latent Feature Models and the {Indian} Buffet Process",
	booktitle=nips,
	volume=18,
	year=2006
}

@article{GriffithsTL2011jmlr,
	author="T. L. Griffiths and Z. Ghahramani",
	title="The {Indian} Buffet Process: An Introduction and Review",
	pages="1185--1224",
	journal=jmlr,
	volume=12,
	year=2011
}

@techreport{GriffinG2007tr,
	title="{Caltech}-256 Object Category Dataset",
	author="G. Griffin and A. Holub and P. Perona",
	year=2007,
	institution="California Institute of Technology",
	number="CNS-TR-2007-001"
}

@article{GriffinJE2006jasa,
	author="J. E. Griffin and M. F. J. Steel",
	title="Order-Based Dependent {Dirichlet} Processes",
	pages="179--194",
	journal=jasa,
	volume=101,
	number=473,
	year=2006
}

@article{GriffinJE2011jcgs,
	author="J. E. Griffin and S. G. Walkera",
	title="Posterior Simulation of Normalized Random Measure Mixtures",
	pages="241--259",
	journal="Journal of Computational and Graphical Statistics",
	volume=20,
	number=1,
	year=2011
}

@article{GroenenPJF2000jef,
	author="P. J. F. Groenen and P. H. Franses",
	title="Visualizing Time-Varying Correlations across Stock Markets",
	pages="155--172",
	journal="Journal of Empirical Finance",
	volume=7,
	number=2,
	year=2000
}

@techreport{GroenenPJF2003tr,
	author="P. J. F. Groenen and P. Giaquinto and H. A. L. Kiers",
	title="Weighted Majorization Algorithms for Weighted Least Squares Decomposition Models",
	number="EI 2003-09",
	institution="Econometric Institute, Erasmus University Rotterdam, The Netherlands",
	year=2003
}

@inproceedings{GrundmannM2010cvpr,
	author="M. Grundmann and V. Kwatra and M. Han and I. Essa",
	title="Efficient Hierarchical Graph-Based Video Segmentation",
	booktitle=cvpr,
	address="San Francisco, CA",
	year=2010
}

@techreport{GuM2001tr,
	author="M. Gu and H. Zha and C. Ding and X. He and H. Simon",
	title="Spectral Relaxation Models and Structure Analysis for k-Way Graph Clustering and Bi-Clustering",
	number="CSE-01-007",
	institution="Penn State University",
	year=2001
}

@inproceedings{GuQ2009kdd,
	author="Q. Gu and J. Zhou",
	title="Co-Clustering on Manifolds",
	booktitle=kdd,
	address="Paris, France",
	year=2009
}

@inproceedings{GuillametD2001cvpr,
	author="D. Guillamet and M. Bressan and J. Vitri{\`a}",
	title="A Weighted Non-Negative Matrix Factorization for Local Representations",
	booktitle=cvpr,
	address="Hawaii",
	year=2001
}

@article{Guillamet2003prl,
	author="D. Guillamet and J. Vitri{\`a} and B. Schiele",
	title="Introducing a Weighted Non-Negative Matrix Factorization for Image Classification",
	pages="2447--2454",
	journal=prl,
	volume=24,
	year=2003
}

@article{GuoG2002ieeetnn,
	author="G. Guo and A. Jain and W. Ma and H. Zhang",
	title="Learning Similarity Measure for Natural Image Retrieval with Relevance Feedback",
	pages="811--820",
	journal=ieeetnn,
	volume=13,
	number=4,
	year=2002
}

@book{GuptaAK99book,
	author="A. K. Gupta and D. K. Nagar",
	title="Matrix Variate Distributions",
	publisher="Chapman \& Hall/CRC",
	year=1999
}

@article{GustafssonM2006physicaA,
	author="M. Gustafsson and M. H{\"o}rnquist and A. Lombardi",
	title="Comparison and Validation of Community Structures in Complex Networks",
	pages="559--576",
	journal=physicaA,
	volume=367,
	year=2006
}

@inproceedings{GuyonI2015ijcnn,
	author="I. Guyon and K. Bennett and G. Cawley and H. J. Escalante and S. Escalera and T. K. Ho and N. Maci{\`a} and B. Ray and M. Saeed and A. Statnikov and E. Viegas",
	title="Design of the 2015 {ChaLearn} {AutoML} {Challenge}",
	booktitle=ijcnn,
	year="2015",
	pages="1--8",
	address="Killarney, Ireland"
}

@inproceedings{HaSJ2015smc,
	author="S. Ha and J.-M. Yun and S. Choi",
	title="Multi-Modal Convolutional Neural Networks for Activity Recognition",
	booktitle=smc,
	address="Hong Kong",
	year=2015
}

@article{HakesJK2006jep,
	author="J. K. Hakes and R. D. Sauer",
	title="An Economic Evaluation of the Moneyball Hypothesis",
	pages="173--186",
	journal="Journal of Economic Perspectives",
	volume=20,
	number=3,
	year=2006
}

@misc{HalkoN2009arxiv,
	author="N. Halko and P. G. Martinsson and J. A. Tropp",
	title="Finding Structure with Randomness: Probabilistic Algorithms for Constructing Approximate Matrix Decompositions",
	note="arXiv:0909.4061v2",
	year=2009
}

@article{HallDL97procieee,
	author="D. L. Hall and J. Llinas",
	title="An Introduction to Multisensor Data Fusion",
	pages="369--376",
	journal=procieee,
	volume=85,
	number=1,
	year=1997
}

@inproceedings{HamJH2004icml,
	author="J. Ham and D. D. Lee and S. Mika and B. {Sch\"olkopf}",
	title="A Kernel View of the Dimensionality Reduction of Manifolds",
	pages="369--376",
	booktitle=icml,
	address="Banff, Canada",
	year=2004
}

@inproceedings{HanEH98icaa,
	author="E. -H. Han and D. Boley and M. Gini and R. Gross and K. Hastings and G. Karypis and V. Kumar and B. Mobasher and J. Moore",
	title="{WebACE}: A Web Agent for Document Categorization and Exploration",
	pages="408--415",
	booktitle="Proceedings of the Second International Conference on Autonomous Agents",
	address="Minneapolis, Minnesota",
	year=1998
}

@inproceedings{HansA2008esann,
	author="A. Hans and D. Schneega{\ss} and A. M. Sch{\"a}fer and S. Udluft",
	title="Safe Exploration for Reinforcement Learning",
	booktitle=esann,
	year=2008
}

@article{HardoonDR2004nc,
	author="D. R. Hardoon and S. Szedmak and J. {Shawe-Taylor}",
	title="Canonical Correlation Analysis: An Overview with Applications to Learning Methods",
	pages="2639--2664",
	journal=nc,
	volume=16,
	year=2004
}

@inproceedings{HariharanB2010icml,
	author="B. Hariharan and L. {Zelnik-Manor} and S. V. N. Vishwanathan and M. Varma",
	title="Large Scale Max-Margin Multi-Label Classification with Priors",
	booktitle=icml,
	address="Haifa, Israel",
	year=2010
}

@techreport{HariharanB2010tr,
	author="B. Hariharan and S. V. N. Vishwanathan and M. Varma",
	title="Efficient Max-Margin Multi-Label Classification with Applications to Zero-Shot Learning",
	number="MSR-TR-2010-141",
	institution="Microsoft Research",
	year=2010
}

@inproceedings{Har-PeledS2001nips,
	author="S. {Har-Peled} and D. Roth and D. Zimak",
	title="Constraint Classification for Multiclass Classification and Ranking",
	booktitle=nips,
	volume=14,
	year=2002
}

@article{HarshmanRA70,
	author="R. A. Harshman",
	title="Foundations of the {PARAFAC} Procedure: Models and Conditions for an {"Exploratory"} Multi-Modal Factor Analysis",
	pages="1--84",
	journal="UCLA Working Papers in Phonetics",
	volume=16,
	year=1970
}

@article{HarshmanRA72,
	author="R. A. Harshman",
	title="Determination and Proof of Minimum Uniqueness Conditions for {PARAFAC1}",
	pages="111--117",
	journal="UCLA Working Papers in Phonetics",
	volume=22,
	year=1972
}

@article{HastieT96ieeetpami,
	author="T. Hastie and R. Tibshirani",
	title="Discriminant Adaptive Nearest Neighbor Classification",
	pages="607--616",
	journal=ieeepami,
	volume=18,
	number=6,
	year=1996
}

@inproceedings{HastieT97nips,
	author="T. Hastie and R. Tibshirani",
	title="Classification by Pairwise Coupling",
	booktitle=nips,
	volume=10,
	year=1998
}

@article{HastieT98as,
	author="T. Hastie and R. Tibshirani",
	title="Classification by Pairwise Coupling",
	pages="451--471",
	journal="The Annals of Statistics",
	volume=26,
	number=2,
	year=1998
}

@book{Haykin94,
	author="S. Haykin eds.",
	title="Blind Deconvolution",
	publisher="Prentice-Hall",
	address="Englewood Cliffs, NJ",
	year=1994
}

@book{Haykin99,
	author="S. Haykin",
	title="Neural Networks:A Comprehensive Foundation",
	edition=2,
	publisher="Prentice-Hall",
	year=1999
}

@book{Haykin2000book1,
	author="S. Haykin",
	title="Unsupervised Adaptive Filtering: Blind Source Separation",
	publisher="Prentice-Hall",
	year=2000
}

@inproceedings{HazanT2005iccv,
	author="T. Hazan and S. Polak and A. Shashua",
	title="Sparse Image Coding Using a {3D} Non-Negative Tensor Factorization",
	pages="50--57",
	booktitle=iccv,
	address="Beijing, China",
	year=2005
}

@inproceedings{HeJ2010kdd,
	author="J. He and W. Liu and S. {-F.} Chang",
	title="Scalable Similarity Search with Optimized Kernel Hashing",
	booktitle=kdd,
	address="Washington, DC",
	year=2010
}

@inproceedings{HeJ2011cvpr,
	author="J. He and R. Radhakrishnan and S. -F. Chang and C. Bauer",
	title="Compact Hashing with Joint Optimization of Search Accuracy and Time",
	booktitle=cvpr,
	address="Colorado Springs, CO",
	year=2011
}

@misc{HeapT95,
	author="T. Heap and F. Samaria",
	title="Real-Time Hand Tracking and Gesture Recognition Using Smart Snakes",
	year=1995
}

@book{HeathMT2002book,
	author="M. T. Heath",
	title="Scientific Computing: An Introductory Survey",
	edition=2,
	publisher="McGraw-Hill",
	address="New York",
	year=2002
}

@article{Heckerman95ml,
	author="D. Heckerman and D. Geiger and D. Chickering",
	title="Learning {Bayesian} Networks: The Combination of Knowledge and Statistical Data",
	pages="197--243",
	journal="Machine Learning",
	volume=20,
	year=1995
}

@inproceedings{HelenM2005eusipco,
	author="M. Helen and T. Virtanen",
	title="Separation of Drums from Polyphonic Music using Non-Negative Matrix Factorization and Support Vector Machine",
	booktitle=eusipco,
	year=2005
}

@inproceedings{HellerKA2005icml,
	author="K. A. Heller and Z. Ghahrahmani",
	title="{Bayesian} Hierarchical Clustering",
	booktitle=icml,
	address="Bonn, Germany",
	year=2005
}

@inproceedings{HellerKA2005pwosao,
	author="K. A. Heller and Z. Ghahrahmani",
	title="Randomized Algorithms for Fast {Bayesian} Hierarchical Clustering",
	booktitle="PASCAL Workshop on Statistics and Optimization",
	address="Bonn, Germany",
	year=2005
}

@incollection{HerbrichR2000book,
	author="R. Herbrich and T. Graepel and K. Obermayer",
	title="Large Margin Rank Boundaries for Ordinal Regression",
	pages="115--132",
	editor="A. J. Smola and P. L. Bartlett and B Sch{\"o}lkopf and D. Schuurmans",
	booktitle="Advances in Large Margin Classifiers",
	publisher="MIT Press",
	year=2000
}

@inproceedings{HerbrichR98aaai,
	author="R. Herbrich and T. Graepel and P. Bollman-Sdorra and K. Obermayer",
	title="Learning Preference Relations for Information Retrieval",
	booktitle=aaai,
	year=1998
}

@inproceedings{HernandezLobatoJM2014icml,
	author="J. M. {Hern\'andez-Lobato} and N. Houlsby and Z. Ghahramani",
	title="Probabilistic Matrix Factorization with Non-Random Missing Data",
	booktitle=icml,
	address="Beijing, China",
	year=2014
}

@inproceedings{HernandezLobatoJM2015icml,
	author="J. M. {Hern\'andez-Lobato} and R. P. Adams",
	title="Probabilistic Backpropagataion for Scalable Learning of {Bayesian} Neural Networks",
	booktitle=icml,
	address="Lille, France",
	year=2015
}

@inproceedings{HeskesT2000icml,
	author="T. Heskes",
	title="Empirical {Bayes} for Learning to Learn",
	booktitle=icml,
	address="San Francisco, CA",
	year=2000
}

@misc{Hettich+Blake+Merz98,
	author="S. Hettich and C. L. Blake and C. J. Merz",
	title="{UCI} Repository of Machine Learning Databases",
	url="http://www.ics.uci.edu/$\sim$mlearn/MLRepository.html",
	institution="University of California, Irvine, Dept. of Information and Computer Sciences",
	year=1998
}

@inproceedings{HeX2003nips,
	author="X. He and P. Niyogi",
	title="Locality Preserving Projections",
	booktitle=nips,
	volume=16,
	publisher="MIT Press",
	year=2004
}

@inproceedings{HeX2008nips,
	author="X. He and R. Zemel",
	title="Learning Hybrid Models for Image Annotation with Partially Labeled Data",
	booktitle=nips,
	volume=21,
	year=2009
}

@book{Hebb49,
	author="D. O. Hebb",
	title="The Organization of Behavior",
	publisher="Wiley",
	address="New York",
	year=1949
}

@article{Hermansky94ieeetsap,
	author="H. Hermansky and M Morgan",
	title="{RASTA} Processing of Speech",
	pages="578--589",
	journal=ieeetsap,
	volume=2,
	number=4,
	year=1994
}

@inproceedings{HillW95chi,
	author="W. Hill and L. Stead and M. Rosenstein and G. Furnas",
	title="Recommending and Evaluating Choices in a Virtual Community of Use",
	booktitle=chi,
	year=1995
}

@article{HinrichsA2011random,
	author="A. Hinrichs and J. Vyb{\'i}ral",
	title="{Johnson-Lindenstrauss} Lemma for Circulant Matrices",
	pages="391--398",
	journal="Random Structures \& Algorithms",
	volume=39,
	number=3,
	year=2011
}

@article{HintonGE95science,
	author="G. E. Hinton and P. Dayan and B. J. Frey and R. M. Neal",
	title="The Wake-Sleep Algorithm for Unsupervised Neural Networks",
	pages="1158--1161",
	journal="Science",
	volume=268,
	year=1995
}

@article{HintonGE97ieeetnn,
	author="G. E. Hinton and P. Dayan and M. Revow",
	title="Modeling the Manifolds of Images of Handwritten Digits",
	pages="65--74",
	journal=ieeetnn,
	volume=8,
	number=1,
	year=1997
}

@inproceedings{HintonGE2002nips,
	author="G. Hinton and S. Roweis",
	title="Stochastic Neighbor Embedding",
	booktitle=nips,
	volume=15,
	year=2003
}

@article{HintonGE2002nc,
	author="G. E. Hinton",
	title="Training Products of Experts by Minimizing Contrastive Divergence",
	pages="1771--1800",
	journal=nc,
	volume=14,
	number=8,
	year=2002
}

@article{HintonGE2006science,
	author="G. E. Hinton and R. Salakhutdinov",
	title="Reducing the Dimensionality of Data With Neural Networks",
	pages="504--507",
	journal="Science",
	volume=313,
	number=5786,
	year=2006
}

@article{HintonGE2006neco,
	author="G. E. Hinton and S. Osindero and Y. W. Teh",
	title="A Fast Learning Algorithm for Deep Belief Nets",
	pages="1527--1554",
	journal=neco,
	volume=18,
	number=7,
	year=2006
}

@incollection{HintonGE2012lncs,
	author="G. E. Hinton",
	title="A Practical Guide to Training Restricted {Boltzmann} Machines",
	pages="599--619",
	editor="G. Montavon et al.",
	booktitle="{NN}: Tricks of the Trade, 2nd Edition",
	publisher="Springer",
	year=2012
}

@inproceedings{HoQ2011aistats,
	author="Q. Ho and A. P. Parikh and L. Song and E. P. Xing",
	title="Multiscale Community Blockmodel for Network Exploration",
	booktitle=aistats,
	address="Fort Lauderdale, FL, USA",
	year=2011
}

@article{HochreiterS97neco,
	author="S. Hochreiter and J. Schmidhuber",
	title="Long Short-Term Memory",
	pages="1735--1780",
	journal=neco,
	volume=9,
	number=8,
	year=1997
}

@article{HoeffdingW63jasa,
	author="W. Hoeffding",
	title="Probability Inequalities for Sums of Bounded Random Variables",
	pages="13--30",
	journal="Journal of the American Statistical Association",
	volume=58,
	number=301,
	year=1963
}

@article{HoffPD2007aas,
	author="P. D. Hoff",
	title="Extending the Rank Likelihood for Semiparametric Copula Estimation",
	pages="265--283",
	journal="The Annals of Applied Statistics",
	volume=1,
	number=1,
	year=2007
}

@article{HoffmanMD2013jmlr,
	author="M. D. Hoffman and D. M. Blei and C. Wang and J. Paisley",
	title="Stochastic Variational Inference",
	pages="1303--1347",
	journal=jmlr,
	volume=14,
	year=2013
}

@inproceedings{HofmannT98nips,
	author="T. Hofmann and J. Puzicha and M. I. Jordan",
	title="Learning from Dyadic Data",
	booktitle=nips,
	volume=11,
	year=1999
}

@inproceedings{HofmannT99sigir,
	author="T. Hofmann",
	title="Probablistic Latent Semantic Indexing",
	booktitle=sigir,
	year=1999
}

@inproceedings{HofmannT99uai,
	author="T. Hofmann",
	title="Probablistic Latent Semantic Analysis",
	booktitle=uai,
	year=1999
}

@inproceedings{HofmannT2003sigir,
	author="T. Hofmann",
	title="Collaborative Filtering via {Gaussian} Probabilistic Latent Semantic Analysis",
	booktitle=sigir,
	address="Toronto, Canada",
	year=2003
}

@article{HollandPW83sns,
	author="P. W. Holland and K. Laskey and S. Leinhardt",
	title="Stochastic Blokcmodels: First Steps",
	pages="109--137",
	journal="Social Networks",
	volume=5,
	number=2,
	year=1983
}

@article{HolmesAP98neuroimage,
	author="A. P. Holmes and K. J. Friston",
	title="Generalisability, Random Effects and Population Inference",
	journal="NeuroImage",
	pages="S754",
	volume=7,
	year=1998
}

@inproceedings{Hori2000ica,
	author="G. Hori",
	title="A New Approach to Joint Diagonalization",
	pages="151--155",
	booktitle="Proceedings of ICA 2000",
	address="Helsinki, Finland",
	year=2000
}

@article{HotellingH36biometrika,
	author="H. Hotelling",
	title="Relations between Two Sets of Variates",
	pages="312--377",
	journal="Biometrika",
	volume=28,
	year=1936
}

@inproceedings{HoyerPO2002nnsp,
	author="P. O. Hoyer",
	title="Non-negative Sparse Coding",
	booktitle=nnsp,
	year=2002
}

@article{HoyerPO2004jmlr,
	author="P. O. Hoyer",
	title="Non-negative Matrix Factorization with Sparseness Constraints",
	journal=jmlr,
	volume=5,
	pages="1457--1469",
	year=2004
}

@article{HsuCW2002ieeetnn,
	author="C. -W. Hsu and C. -J. Lin",
	title="A Comparison of Methods for Multiclass Support Vector Machines",
	pages="415--425",
	journal=ieeetnn,
	volume=13,
	year=2002
}

@inproceedings{HsuD2009nips,
	author="D. Hsu and S. K. Kakade and J. Langford and T. Zhang",
	title="Multi-Label Prediction via Compressed Sensing",
	booktitle=nips,
	volume=22,
	year=2009
}

@inproceedings{HuC2009nips,
	author="C. Hu and J. Kwok and W. Pan",
	title="Accelerated Gradient Methods for Stochastic Optimization and Online Learning",
	booktitle=nips,
	volume=22,
	year=2009
}

@inproceedings{HuY2008icdm,
	author="Y. Hu and Y. Koren and C. Volinsky",
	title="Collaborative Filtering for Implicit Feedback Datasets",
	booktitle=icdm,
	address="Pisa, Italy",
	year=2008
}

@article{HuaYB99dsp,
	author="Y. Hua and Y. Xiang and T. Chen and K. {Abed-Meraim} and Y. Miao",
	title="A New Look at the Power Method for Fast Subspace Tracking",
	pages="297--314",
	journal="Digital Signal Processing",
	volume=9,
	year=1999
}

@article{HuangTK2006jmlr,
	author="T. -K. Huang and R. C. Weng and C. -J. Lin",
	title="Generalized {Bradley-Terry} Models and Multi-Class Probability Estimates",
	pages="85--115",
	journal=jmlr,
	volume=7,
	year=2006
}

@article{HubertL85joc,
	author="L. Hubert and P. Arabie",
	title="Comparing Partitions",
	pages="193--218",
	journal="Journal of Classification",
	volume=2,
	year=1985
}

@techreport{HutterF2010tr,
	author="F. Hutter and H. H. Hoos and K. {Leyton-Brown}",
	title="Sequential Model-Based Optimization for General Algorithm Configuration (extended version)",
	number="10-TR-SMAC",
	institution="UBC",
	year=2010
}

@inproceedings{HutterF2011lion,
	author="F. Hutter and H. H. Hoos and K. {Leyton-Brown}",
	title="Sequential Model-Based Optimization for General Algorithm Configuration",
	pages="507--523",
	booktitle=lion,
	year=2011,
	address=rome-italy
}

@inproceedings{HuynhT2008ubicomp,
	author="T. Hu{\`y}nh and M. Fritz and B. Schiele",
	title="Discovery of Activity Patterns using Topic Models",
	booktitle="Proceedings of the 10th International Conference on Ubiquitous Computing",
	address="Seoul, Korea",
	year=2008
}

@article{HwangBW2003ieeetpami,
	author="B. W. Hwang and S. W. Lee",
	title="Reconstruction of Partially Damaged Face Images Based on a Morphable Face Model",
	pages="365--372",
	journal=ieeetpami,
	volume=25,
	number=3,
	year=2003
}

@article{Hyvarinen97nc,
	author="A. {Hyv\"arinen} and E. Oja",
	title="A Fast Fixed-point Algorithm for Independent Component Analysis",
	pages="1483--1492",
	journal=nc,
	volume=9,
	year=1997
}

@article{Hyvarinen98neurocomp,
	author="A. {Hyv\"arinen}",
	title="Independent Component Analysis in the Presence of Gaussian Noise by Maximizing Joint Likelihood",
	journal="Neurocomputing",
	volume=22,
	pages="49--62",
	year=1998
}

@inproceedings{Hyvarinen98icann,
	author="A. {Hyv\"arinen}",
	title="Independent Component Analysis for Time-Dependent Stochastic Processes",
	pages="541--546",
	booktitle=icann,
	address="{Sk\"ovde}, Sweden",
	year=1998
}

@article{Hyvarinen99ieeespl,
	author="A. {Hyv\"arinen}",
	title="Gaussian Moments for Noisy Independent Component Analysis",
	journal=ieeespl,
	volume=6,
	number=6,
	pages="145--147",
	month="June",
	year=1999
}

@article{Hyvarinen99nc,
	author="A. {Hyv\"arinen}",
	title="Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation",
	journal=nc,
	volume=11,
	number=7,
	pages="1739--1768",
	year=1999
}

@article{Hyvarinen99ieeetnn,
	author="A. {Hyv\"arinen}",
	title="Fast and Robust Fixed-Point Algorithms for Independent Component Analysis",
	journal=ieeetnn,
	volume=10,
	number=3,
	pages="626--634",
	year=1999
}

@article{Hyvarinen99ncs,
	author="A. {Hyv\"arinen}",
	title="Survey on Independent Component Analysis",
	pages="94--128",
	journal="Neural Computing Surveys",
	volume=2,
	year=1999
}

@article{Hyvarinen2000nc,
	author="A. {Hyv\"arinen} and P. Hoyer",
	title="Emergence of Phase- and Shift-Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces",
	journal=nc,
	volume=12,
	number=7,
	pages="1705--1720",
	year=2000
}

@article{Hyvarinen2001nc,
	author="A. {Hyv\"arinen}",
	title="Complexity Pursuit: Separating Interesting Components from Time-Series",
	journal=nc,
	volume=13,
	number=4,
	pages="883--898",
	year=2001
}

@book{Hyvarinen2001book,
	author="A. {Hyv\"arinen} and J. Karhunen and E. Oja",
	title="Independent Component Analysis",
	publisher="John Wiley \& Sons, Inc.",
	address="New York",
	year=2001
}

@inproceedings{Icart96icassp,
	author="S. Icart and R. Gautier",
	title="Blind Separation of Convolutive Mixtures Using Second and Fourth Order Moments",
	pages="3018--3021",
	booktitle=icassp,
	year=1996
}

@inproceedings{Ikram2002icassp,
	author="M. Ikram and D. Morgan",
	title="A Beamforming Approach to Permutation Alignment for Multichannel Frequency-Domain Blind Speech Separation",
	pages="881--884",
	booktitle=icassp,
	address="Salk Lake City, Utah",
	year=2001
}

@article{IlinA2010jmlr,
	author="A. Ilin and T. Raiko",
	title="Practical Approaches to Principal Component Analysis in the Presence of Missing Values",
	pages="1957--2000",
	journal=jmlr,
	volume=11,
	year=2010
}

@inproceedings{IndykP1998stoc,
	author="P. Indyk and R. Motwani",
	title="Approximate Nearest Neighbor: Towards Removing the Curse of Dimensionality",
	pages="604--613",
	booktitle=stoc,
	year=1998
}

@inproceedings{IndykP99soda,
	author="P. Indyk",
	title="A Small Approximately Min-Wise Independent Family of Hash Functions",
	booktitle=soda,
	year=1999
}

@incollection{Inouye97,
	author="Y. Inouye",
	title="Blind Deconvolution of Multichannel Linear Time-invariant Systems of Nonminimum Phase",
	editor="T. Katayama and S. Sugimoto",
	booktitle="Statistical Methods in Control and Signal Processing",
	pages="375--397",
	publisher="Marcel Dekker",
	year=1997
}

@article{Inouye98ieeetsp,
	author="Y. Inouye",
	title="Criteria for Blind Deconvolution of Multichannel Linear Time-invariant Systems",
	pages="3431--3436",
	journal=ieeetsp,
	volume=46,
	number=12,
	year=1998
}

@article{IshwaranH2001jasa,
	author="H. Ishwaran and L. F. James",
	title="{Gibbs} Sampling Methods for Stick-Breaking Priors",
	pages="161--173",
	journal="Journal of the American Statistical Association",
	volume=96,
	number=453,
	year=2001
}

@inproceedings{JaakkolaTS96aistats,
	author="T. S. Jaakkola and M. I. Jordan",
	title="A Variational Approach to {Bayesian} Logistic Regression Problems and their Extensions",
	booktitle=aistats,
	year=1996
}

@article{JaakkolaTS2000sc,
	author="T. S. Jaakkola and M. I. Jordan",
	title="Bayesian Parameter Estimation via Variational Methods",
	pages="25--37",
	journal="Statistics and Computing",
	volume=10,
	year=2000
}

@article{JacquesL2013ieeetit,
	author="L. Jacques and J. N. Laska and P. T. Boufounos and R. G. Baraniuk",
	title="Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors",
	pages="2082--2101",
	journal=ieeetit,
	volume=59,
	number=4,
	year=2013
}

@techreport{JaegerH2002tr,
	author="H. Jaeger",
	title="Tutorial on Training Recurrent Neural Networks",
	number="GMD Report 159",
	institution="Fraunhofer Institute",
	year=2002
}

@inproceedings{JaegerH2002nips,
	author="H. Jaeger",
	title="Adaptive Nonlinear System Identification with Echo State Networks",
	booktitle=nips,
	volume=15,
	year=2003
}

@book{JainAK88book,
	author="A. K. Jain and R. C. Dubes",
	title="Algorithms for Clustering Data",
	publisher="Prentice Hall",
	address="Englewood Cliffs, New Jersey",
	year=1988
}

@article{JainAK99acmcs,
	author="A. K. Jain and M. N. Murty and P. J. Flynn",
	title="Data Clustering: A Review",
	journal="ACM Computing Surveys",
	volume=31,
	number=3,
	pages="264--323",
	year=1999
}

@article{JainAK2000ieeetpami,
	author="A. K. Jain and R. P. W. Duin and J. Mao",
	title="Statistical Pattern Recognition: A Review",
	journal=ieeetpami,
	pages="4--37",
	volume=22,
	number=1,
	year=2000
}

@article{JainS2000jcgs,
	author="S. Jain and R. M. Neal",
	title="A Split-Merge {Markov} Chain {Monte Carlo} Procedure for the {Dirichlet} Process Mixture Model",
	pages="158--182",
	journal="Journal of Computational and Graphical Statistics",
	volume=13,
	year=2000
}

@inproceedings{JainP2008cvpr,
	author="P. Jain and B. Kulis and K. Grauman",
	title="Fast Image Search for Learned Metrics",
	booktitle=cvpr,
	address="Anchorage, Alaska",
	year=2008
}

@techreport{JainS2000tr,
	author="S. Jain and R. M. Neal",
	title="A Split-Merge {Markov} Chain {Monte Carlo} Procedure for {Dirichlet} Process Mixture Model",
	number="2003",
	institution="Department of Statistics, University of Toronto",
	year=2000
}

@inproceedings{JamaliM2009kdd,
	author="M. Jamali and M. Ester",
	title="{TrustWalker}: A Random Walk Model for Combining Trust-based and Item-based Recommendation",
	booktitle=kdd,
	address="Paris, France",
	year=2009
}

@inproceedings{JamaliM2010recsys,
	author="M. Jamali and M. Ester",
	title="A Matrix Factorization Technique with Trust Propagation for Recommendation in Social Networks",
	booktitle=recsys,
	address="Barcelona, Spain",
	year=2010
}

@article{JamesLF2005aos,
	author="L. F. James",
	title="Bayesian {Poisson} Process Partition Calculus with an Application to {Bayesian} {L\'evy} Moving Averages",
	pages="1771--1799",
	journal=aos,
	volume=33,
	number=4,
	year=2005
}

@article{JamesLF2009sjs,
	author="L. F. James and A. Lijoi and I. Pr{\"u}nster",
	title="Posterior Analysis for Normalized Random Measures with Independent Increments",
	pages="76--97",
	journal="Scandinavian Journal of Statistics",
	volume=36,
	number=1,
	year=2009
}

@inproceedings{JamesW61,
	author="W. James and C. Stein",
	title="Estimation with Quadratic Loss",
	pages="361--379",
	booktitle="Proceedings of the 4th Berkeley Symposium on Mathematical Statistics and Probability",
	volume=1,
	address="Berkeley, CA",
	publisher="University of California Press",
	year=1961
}

@inproceedings{JangIS2001ica,
	author="I. Jang and S. Choi",
	title="Sequential Least Squares Algorithm for Blind Co-Channel Signal Separation",
	pages="601--604",
	booktitle="Proceedings of ICA",
	address="San Diego, California",
	year=2001
}

@inproceedings{JangIS2005iscas,
	author="I. Jang and S. Kim and S. Choi",
	title="{F-SEONS:} A Second-Order Frequency-Domain Algorithm for Noisy Convolutive Source Separation",
	booktitle=iscas,
	address="Kobe, Japan",
	year=2005
}

@inproceedings{JarvelinK2000sigir,
	author="K. J{\"a}rvelin and J. Kek{\"a}l{\"a}inen",
	title="{IR} Evaluation Methods for Retrieving Highly Relevant Documents",
	pages="41--48",
	booktitle=sigir,
	year=2000
}

@article{JarvelinK2002acmtis,
	author="K. J{\"a}rvelin and J. Kek{\"a}l{\"a}inen",
	title="Cumulated Gain-Based Evaluation of {IR} Techniques",
	pages="422--446",
	journal=acmtis,
	volume=20,
	number=4,
	year=2002
}

@article{JarvisRA73ieeetc,
	author="R. A. Jarvis and E. A. Patrick",
	title="Clustering Using a Similarity Measure Based on Shared Near Neighbors",
	pages="1025--1034",
	journal=ieeetc,
	volume=22,
	year=1973
}

@inproceedings{JebaraT2000nips,
	author="T. Jebara and A. Pentland",
	title="On Reversing {Jensen's} Inequality",
	booktitle=nips,
	volume=13,
	publisher="MIT Press",
	year=2001
}

@inproceedings{JegouH2008eccv,
	author="H. J{\'e}gou and M. Douze and C. Schmid",
	title="Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search",
	booktitle=eccv,
	address="Marseille, France",
	year=2008
}

@inproceedings{JegouH2010cvpr,
	author="H. J{\'e}gou and M. Douze and C. Schmid and P. P{\'e}rez",
	title="Aggregating Local Descriptors into a Compact Image Representation",
	booktitle=cvpr,
	address="San Francisco, CA",
	year=2010
}

@inproceedings{JenssenR2004ijcnn,
	author="R. Jenssen and T. Eltoft and J. C. Principe",
	title="Infromation Theoretic Spectral Clustering",
	pages="111--116",
	booktitle=ijcnn,
	year=2004
}

@inproceedings{JiS2008nips,
	author="S. Ji and L. Sun and R. Jin and J. Ye",
	title="Multi-Label Multiple Kernel Learning",
	booktitle=nips,
	volume=21,
	year=2009
}

@inproceedings{JiS2008kdd,
	author="S. Ji and L. Tang and S. Yu and J. Ye",
	title="Extracting Shared Subspace for Multi-Label Classification",
	booktitle=kdd,
	address="Las Vegas, Nevada, USA",
	year=2008
}

@inproceedings{JiS2009icml,
	author="S. Ji and J. Ye",
	title="An Accelerated Gradient Method for Trace Norm Minimization",
	booktitle=icml,
	address="Montreal, Canada",
	year=2009
}

@inproceedings{JiaY2010nips,
	author="Y. Jia and M. Salzmann and T. Darrell",
	title="Factorized Latent Spaces with Structured Sparsity",
	booktitle=nips,
	volume=23,
	publisher="MIT Press",
	year=2010
}

@inproceedings{JiangK2012nips,
	author="K. Jiang and B. Kulis and M. I. Jordan",
	title="Small-Variance Asymptotics for Exponential Family {Dirichlet} Process Mixture Models",
	booktitle=nips,
	volume=25,
	year=2012
}

@inproceedings{JiangK2015cvpr,
	author="K. Jiang and Q. Que and B. Kulis",
	title="Revisting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval",
	booktitle=cvpr,
	address="Boston, Massachusetts, USA",
	year=2015
}

@inproceedings{JoachimsT99icml,
	author="T. Joachims",
	title="Transductive Inference for Text Classification using Support Vector Machines",
	booktitle=icml,
	address="Bled, Slovenia",
	year=1999
}

@inproceedings{JoachimsT2002kdd,
	author="T. Joachims",
	title="Optimizing Search Engines using Clickthrough Data",
	booktitle=kdd,
	address="Edmonton, Alberta, Canada",
	year=2002
}

@inproceedings{JoachimsT2005icml,
	author="T. Joachims",
	title="A Support Vector Method for Multivariate Performance Measures",
	booktitle=icml,
	address="Bonn, Germany",
	year=2005
}

@article{JoachimsT2007computer,
	author="T. Joachims and F. Radlinkski",
	title="Search Engines that Learn from Implicit Feedback",
	pages="34--40",
	journal="IEEE Computer",
	volume=40,
	number=8,
	year=2007
}

@article{JoachimsT2009mlj,
	author="T. Joachims and T. Finley and C. -N. Yu",
	title="Cutting-Plane Training of Structural {SVMs}",
	pages="27--59",
	journal=mlj,
	volume=77,
	number=1,
	year=2009
}

@book{Jolliffe2002,
	author="I. T. Jolliffe",
	title="Principal Component Analysis",
	edition=2,
	publisher="Spinger-Verlag",
	year=2002
}

@article{JohnsonWB1984cm,
	author="W. B. Johnson and J. Lindenstrauss",
	title="Extensions of {Lipschitz} Mappings into a {Hilbert} Space",
	pages="189--206",
	journal="Contemporary Mathematics",
	volume=26,
	year=1984
}

@inproceedings{JohoM2003ica,
	author="M. Joho and P. Schniter",
	title="Frequency Domain Realization of a Multichannel Blind Deconvolution Algorithm Based on the Natural Gradient",
	pages="543--548",
	booktitle=ica,
	address="Nara, Japan",
	year=2003
}

@inproceedings{JolyA2011cvpr,
	author="A. Joly and O. Buisson",
	title="Random Maximum Margin Hashing",
	booktitle=cvpr,
	address="Colorado Springs, CO",
	year=2011
}

@article{JonesDR1998jgo,
	author="D. R. Jones and M. Schonlau and W. J. Welch",
	title="Efficient Global Optimization of Expensive Black-Box Functions",
	pages="455--492",
	journal=jgo,
	volume=13,
	year=1998
}

@article{JonesDR2001jgo,
	author="D. R. Jones",
	title="A Taxonomy of Global Optimization Methods Based on Response Surfaces",
	pages="345--383",
	journal=jgo,
	volume=21,
	number=4,
	year=2001
}

@article{JordanMI99mlj,
	author="M. I. Jordan and Z. Ghahramani and T. Jaakkola and L. K. Saul",
	title="An Introduction to Variational Methods for Graphical Models",
	pages="183--233",
	journal=mlj,
	volume=37,
	number=2,
	year=1999
}

@inproceedings{JungTP97nips,
	author="T. -P. Jung and C. Humphries and T. Lee and S. Makeig and M. McKeown and V. Iragui and T. Sejnowski",
	title="Extended {ICA} Removes Artifacts from Electroencephalographic Recordings",
	pages="894--900",
	booktitle=nips,
	volume=10,
	year=1998
}

@article{Jutten91sp,
	author="C. Jutten and J. Herault",
	title="Blind Separation of Sources, Part {I}: An Adaptive Algorithm Based on Neuromimetic Architecture",
	pages="1--10",
	journal=sp,
	volume=24,
	year=1991
}

@inproceedings{Jutten95nolta,
	author="C. Jutten and J. -F. Cardoso",
	title="Source separation: Really Blind?",
	pages="79--84",
	booktitle=nolta,
	year=1995
}

@book{Kagan73,
	author="A. Kagan and J. Linnik and C. Rao",
	title="Charaterization Problems in Mathematical Statistics",
	publisher="John Wiely {\&} Sons",
	address="New York",
	year=1973
}

@book{Kailath,
	author="T. Kailath",
	title="Linear Systems",
	publisher="Prentice-Hall",
	address="Englewood Cliffs, NJ",
	year=1980
}

@inproceedings{KaliskyT2005aip,
	author="T. Kalisky and S. Sreenivasan and L. A. Braunstein and S. V. Buldyrev and S. Havlin and H. E. Stanley",
	title="Scale-Free Properties of Weighted Random Graphs: Minimum Spanning Trees and Percolation",
	pages="79--89",
	booktitle="AIP Conference Proceedings",
	year=2005
}

@article{KangGS89ieeetassp,
	author="G. S. Kang and L. J. Fransen",
	title="Quality improvement of {LPC}-Processed Noisy Speech by Using Spectral Subtraction",
	pages="939--943",
	journal=ieeetassp,
	volume=37,
	year=1989
}

@article{KangHH2009ieeespl,
	author="H. Kang and Y. Nam and S. Choi",
	title="Composite Common Spatial Pattern for Subject-to-Subject Transfer",
	pages="683--686",
	journal=ieeespl,
	volume=16,
	number=8,
	year=2009
}

@inproceedings{KangHH2011prni,
	author="H. Kang and S. Choi",
	title="{Bayesian} Multi-Task Learning for Common Spatial Patterns",
	booktitle="Proceedings of the IEEE International Workshop on Pattern Recognition in NeuroImaging (PRNI)",
	address="Seoul, Korea",
	year=2011
}

@inproceedings{KangHH2012ijcnn,
	author="H. Kang and S. Choi",
	title="{Bayesian} Common Spatial Patterns with {Dirichlet} Process Priors for Multi-Subject {EEG} Classification",
	booktitle=ijcnn,
	address="Brisbane, Australia",
	year=2012
}

@inproceedings{KangHH2012eusipco,
	author="H. Kang and S. Choi",
	title="Bayesian Common Spatial Patterns with {Pitman-Yor} Process Priors",
	booktitle=eusipco,
	address="Bucharest, Romania",
	year=2012
}

@inproceedings{KangHH2013icassp,
	author="H. Kang and S. Choi",
	title="Bayesian Multi-Subject Common Spatial Patterns with {Indian} Buffet process priors",
	booktitle=icassp,
	address="Vancouver, Canada",
	year=2013
}

@article{KangHH2014nn,
	author="H. Kang and S. Choi",
	title="Bayesian Common Spatial Patterns for Multi-Subject {EEG} Classification",
	pages="39--50",
	journal=nn,
	volume=59,
	year=2014
}

@inproceedings{KannanR2000focs,
	author="R. Kannan and S. Vempala and A. Vetta",
	title="On Clusterings: Good, Bad, Spectral",
	booktitle=focs,
	year=2000
}

@book{Kapur,
	author="J. Kapur",
	title="Measures of Information and their Applications",
	publisher="John Wiely {\&} Sons",
	year=1994
}

@inproceedings{Karhunen94esann,
	author="J. Karhunen",
	title="Neural Approaches to Independent Component Analysis",
	pages="249--266",
	booktitle=esann,
	year=1996
}

@article{Karhunen94nn,
	author="J. Karhunen and J. Joutsensalo",
	title="Representation and separation of signals using nonlinear {PCA} Type Learning",
	pages="113--127",
	journal=nn,
	volume=7,
	number=1,
	year=1994
}

@article{Karhunen95nn,
	author="J. Karhunen and J. Joutsensalo",
	title="Generalization of Principal Component Analysis, Optimization Problems, and Neural Networks",
	pages="549--562",
	journal="Neural Networks",
	volume=8,
	number=4,
	year=1995
}

@article{Karhunen97ieeetnn,
	author="J. Karhunen and E. Oja and  L. Wang and R. Vigario and J. Joutsensalo",
	title="A Class of Neural Networks for Independent Component Analysis",
	pages="486--504",
	journal=ieeetnn,
	volume=8 ,
	year=1997
}

@article{Karhunen98neurocomputing,
	author="J. Karhunen and P. Pajunen and E. Oja",
	title="The Nonlinear PCA Criterion in Blind Source Separation: Relations with Other Approaches",
	pages="5--20",
	journal="Neurocomputing",
	volume=22,
	month="Nov.",
	year=1998
}

@incollection{KarischSE98,
	author="S. E. Karisch and F. Rendl",
	title="Semidefinite Programming and Graph Equipartition",
	pages="77--95",
	booktitle="Topics in Semidefinite and Interior-Point Methods",
	volume=18,
	publisher="AMS",
	year=1998
}

@article{KarmarkarN84Comb,
	author="N. Karmarkar",
	title="A New Polynomial-Time Algorithm for Linear Programming",
	pages="373--395",
	journal="Combinatorica",
	volume=4,
	number=4,
	month="December",
	year=1984
}

@article{KarrerB2011pre,
	author="B. Karrer and M. E. J. Newman",
	title="Stochastic BlockModels and Community Stucture in Networks",
	journal="Physical Review E",
	volume=83,
	year=2011
}

@article{Kashino96,
	author="M. Kashino and T. Hirahara",
	title="One, Two, Many - Juding the Number of Concurrent Talkers",
	journal=jasa,
	volume=99 ,
	year=1996
}

@inproceedings{Kawamoto98tenerife,
	author="M. Kawamoto and A. K. Barros and N. Ohnishi",
	title="A Neural Network for Blind Separation of Convolved Nonstationary Signals",
	pages="1374--1379",
	booktitle=tenerife,
	address="Tenerife, Spain",
	year=1998
}

@inproceedings{Kawamoto99ica,
	author="M. Kawamoto and A. K. Barros and A. Mansour and K. Matsuoka and N. Ohnishi",
	title="Real World Blind Separation of Convolved Non-stationary Signals",
	pages="347--352",
	booktitle=ica99,
	address="Aussois, France",
	year=1999
}

@book{KaySM93book,
	author="S. M. Kay",
	title="Fundamentals of Statistical Signal Processing: Estimation Theory",
	publisher="Prentice Hall",
	year=1993
}

@article{KeshavanRH2010jmlr,
	author="R. H. Keshavan and A. Montanari and S. Oh",
	title="Matrix Completion from Noisy Entries",
	pages="2057--2078",
	journal=jmlr,
	volume=11,
	year=2010
}

@mastersthesis{KetpreechasawatS2006thesis,
	author="S. Ketpreechasawat and O. C. Jenkins",
	title="Hierarchical Landmark Charting",
	school="Brown University",
	year=2006
}

@article{KeuchelJ2003ieeetpami,
	author="J. Keuchel and C. {Schn\"orr} and C. Schellewald and D. Cremers",
	title="Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming",
	pages="1364--1379",
	journal=ieeetpami,
	volume=25,
	number=11,
	year=2003
}

@inproceedings{KhanME2010nips,
	author="M. E. Khan and G. Bouchard and B. M. Marlin and K. P. Murphy",
	title="Variational Bounds for Mixed-Data Factor Analysis",
	booktitle=nips,
	volume=23,
	year=2010
}

@inproceedings{KhanME2012aistats,
	author="M. E. Khan and S. Mohamed and B. M. Marlin and K. P. Murphy",
	title="A Stick-Breaking Likelihood for Categorical Data Analysis with Latent {Gaussian} Models",
	booktitle=aistats,
	address="La Palma, Canary Islands, Spain",
	year=2012
}

@article{KhoKM2007jmlr,
	author="K. -M. Koh and S. -J. Kim and S. Boyd",
	title="An Interior-Point Method for Large-Scale $l_{1}$-Regularized Logistic Regression",
	pages="1519--1555",
	journal=jmlr,
	volume=8,
	year=2007
}

@article{KiersHAL97psy,
	author="H. A. L. Kiers",
	title="Weighted Least Sqaures Fitting Using Iterative Ordinary Least Squares Algorithms",
	pages="251--266",
	journal="Psychometrika",
	volume=62,
	year=1997
}

@article{KiersHAL2000jchemo,
	author="H. A. L. Kiers",
	title="Towards a Standardized Notation and Terminology in Multiway Analysis",
	pages="105--122",
	journal="Journal of Chemometrics",
	volume=14,
	year=2000
}

@inproceedings{KimDI2011nips,
	author="D. I. Kim and E. B. Sudderth",
	title="The Doubly Correlated Nonparametric Topic Model",
	booktitle=nips,
	volume=24,
	year=2011
}

@inproceedings{KimDM2007sdm,
	author="D. Kim and S. Sra and I. S. Dhillon",
	title="Fast {Newton}-Type Methods for the Least Squares Nonnegative Matrix Approximation Problem",
	booktitle=sdm,
	year=2007
}

@article{KimDM2008sadm,
	author="D. Kim and S. Sra and I. S. Dhillon",
	title="Fast Projection-Based Methods for the Least Squares Nonnegative Matrix Approximation Problem",
	pages="38--51",
	journal="Statistical Analysis and Data Mining",
	volume=1,
	number=1,
	year=2008
}

@article{KimJH2006pr,
	author="J. Kim and S. Choi",
	title="Semidefinite Spectral Clustering",
	pages="2025--2035",
	journal=pr,
	volume=39,
	number=11,
	year=2006
}

@article{KimHC2006ieeetpami,
	author="H. -C. Kim and Z. Ghahramani",
	title="Bayesian {Gaussian} Process Classification with the {EM-EP} Algorithm",
	pages="1948--1959",
	journal=ieeetpami,
	volume=28,
	number=12,
	year=2006
}

@inproceedings{KimHJ2003ijcnn,
	author="H. Kim and S. Choi and S. {-Y.} Bang",
	title="Membership Scoring via Independent Feature Subspace Analysis for Grouping Co-Expressed Genes",
	booktitle=ijcnn,
	address="Portland, Oregon",
	year=2003
}

@inproceedings{KimHJ2005aia,
	author="H. Kim and S. Choi",
	title="Independent Subspaces of Gene Expression Data",
	booktitle="Proceedings of IASTED International Conference on Artificial Intelligence and Applications",
	address="Innsbruck, Austria",
	year=2005
}

@article{KimHS2007bioinformatics,
	author="H. Kim and H. Park",
	title="Sparse Non-Negative Matrix Factorizations via Alternating Non-Negativity-Constrained Least Squares for Microarray Data Analysis",
	pages="1495--1502",
	journal="Bioinformatics",
	volume=23,
	number=12,
	year=2007
}

@article{KimHS2008siam,
	author="H. Kim and H. Park",
	title="Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method",
	pages="713--730",
	journal=siamjmaa,
	volume=30,
	number=2,
	year=2008
}

@inproceedings{KimJH2007icassp,
	author="J. Kim and K.-H. Shim and S. Choi",
	title="Soft Geodesic Kernel $k$-Means",
	booktitle=icassp,
	address="Honolulu, Hawaii",
	publisher="IEEE",
	year=2007
}

@article{KimJK2006prl,
	author="J. K. Kim and G. P. S. Raghava and S.-Y. Bang and S. Choi",
	title="Prediction of Subcellular Localization of Proteins Using Pairwise Sequence Alignment and Support Vector Machine",
	pages="996--1001",
	journal=prl,
	volume=27,
	year=2006
}

@article{KimJK2006pr,
	author="J. K. Kim and S.-Y. Bang and S. Choi",
	title="Sequence-Driven Features for Prediction of Subcellular Localization of Proteins",
	pages="2301--2311",
	journal=pr,
	volume=39,
	year=2006
}

@incollection{KimJK2009nips,
	author="J. K. Kim and S. Choi",
	title="Clustering Sequence Sets for Motif Discovery",
	booktitle=neurips,
	volume=22,
	pages="970--978",
	year=2009
}

@inproceedings{KimKH2007icml,
	author="K.-H. Kim and S. Choi",
	title="Neighbor Search with Global Geometry: A Minimax Message Passing Algorithm",
	booktitle=icml,
	address="Corvallis, Oregon, USA",
	year=2007
}

@inproceedings{KimMJ2005icann,
	author="M. Kim and S. Choi",
	title="On Spectral Basis Selection for Single Channel Polyphonic Music Separation",
	pages="157--162",
	booktitle=icann,
	volume=2,
	address="Warsaw, Poland",
	publisher="Springer",
	year=2005
}

@inproceedings{KimMJ2006ica,
	author="M. Kim and S. Choi",
	title="Monaural Music Source Separation: Nonnegativity, Sparseness, and Shift-Invariance",
	booktitle=ica,
	address="Charleston, South Carolina",
	year=2006
}

@inproceedings{KimMJ2010icassp,
	author="M. Kim and J. Yoo and K. Kang and S. Choi",
	title="Blind Rhythmic Source Separation: Nonnegativity and Repeatability",
	booktitle=icassp,
	address="Dallas, Texas",
	year=2010
}

@article{KimMJ2011ieeejstsp,
	author="M. Kim and J. Yoo and K. Kang and S. Choi",
	title="Nonnegative Matrix Partial Co-Factorization for Spectral and Temporal Drum Source Separation",
	pages="1192--1204",
	journal=ieeejstsp,
	volume=5,
	number=6,
	year=2011
}

@techreport{KimS2004tr,
	author="S. Kim and A. Gopu",
	title="Cluster Utility: A New Metric to Guide Sequence Clustering",
	institution="School of Informatics, Indiana University",
	year=2004
}

@inproceedings{KimSH2011icdm,
	author="S. Kim and S. Choi",
	title="Semi-Supervised Discriminant Hashing",
	booktitle=icdm,
	address="Vancouver, Canada",
	year=2011
}

@inproceedings{KimSH2012eccv,
	author="S. Kim and Y. Kang and S. Choi",
	title="Sequential Spectral Learning to Hash with Multiple Representation",
	booktitle=eccv,
	address="Firenze, Italy",
	year=2012
}

@inproceedings{KimSH2015cvpr,
	author="S. Kim and S. Choi",
	title="Bilinear Random Projections for Locality-Sensitive Binary Embedding",
	booktitle=cvpr,
	address=venue-cvpr-2015,
	year=2015
}

@inproceedings{KimSJ2005iscas,
	author="S. Kim and S. Choi",
	title="Independent Arrays or Independent Time Courses for Gene Expression Data",
	booktitle=iscas,
	address="Kobe, Japan",
	year=2005
}

@inproceedings{KimSJ2006ica,
	author="S. Kim and S. Choi",
	title="Topographic Independent Component Analysis of Gene Expression Time Series Data",
	pages="462--469",
	booktitle=ica,
	address="Charleston, South Carolina",
	year=2006
}

@article{KimSJ2008neucom,
	author="S. Kim and J. K. Kim and S. Choi",
	title="Independent Arrays or Independent Time Courses for Gene Expression Time Series Data Analysis",
	pages="2377--2387",
	journal=neucom,
	volume=71,
	year=2008
}

@article{KimSK2009ieeetce,
	author="S. Kim and G. Park and S. Yim and S. Choi and S. Choi",
	title="Gesture-Recognizing Hand-Held Interface with Vibrotactile Feedback for 3D Interaction",
	pages="1169--1177",
	journal=ieeetce,
	volume=55,
	number=3,
	year=2009
}

@inproceedings{KimYD2007icassp,
	author="Y.-D. Kim and S. Choi",
	title="A Method of Initialization for Nonnegative Matrix Factorization",
	booktitle=icassp,
	address=honolulu-usa,
	year=2007
}

@inproceedings{KimYD2007cvpr,
	author="Y.-D. Kim and S. Choi",
	title="Nonnegative {Tucker} Decomposition",
	booktitle="Proceedings of the IEEE CVPR-2007 Workshop on Component Analysis Methods",
	address="Minneapolis, Minnesota",
	year=2007
}

@inproceedings{KimYD2007icb,
	author="Y. -D. Kim and S. Choi",
	title="Color Face Tensor Factorization and Slicing for Illumination-Robust Recognition",
	booktitle="Proceedings of the International Conference on Biometrics",
	address="Seoul, Korea",
	publisher="Springer",
	year=2007
}

@inproceedings{KimYD2008icassp,
	author="Y.-D. Kim and A. Cichocki and S. Choi",
	title="Nonnegative {Tucker} Decomposition with Alpha-Divergence",
	booktitle=icassp,
	address="Las Vegas, Nevada",
	year=2008
}

@inproceedings{KimYD2009icassp,
	author="Y.-D. Kim and S. Choi",
	title="Weighted Nonnegative Matrix Factorization",
	booktitle=icassp,
	address="Taipei, Taiwan",
	year=2009
}

@article{KimYD2013ieeespl,
	author="Y.-D. Kim and S. Choi",
	title="Variational {Bayesian} View of Weighted Trace Norm Regularization for Matrix Factorization",
	pages="261--264",
	journal=ieeespl,
	volume=20,
	number=3,
	year=2013
}

@inproceedings{KimYD2013lsrs,
	author="Y.-D. Kim and S. Choi",
	title="Scalable Variational {Bayesian} Matrix Factorization",
	booktitle="Workshop on Large Scale Recommendation Systems",
	address="Hong Kong, China",
	year=2013
}

@inproceedings{KimYD2014aistats,
	author="Y.-D. Kim and S. Choi",
	title="Scalable Variational {Bayesian} Matrix Factorization with Side Information",
	booktitle=aistats,
	address="Reykjavik, Iceland",
	year=2014
}

@inproceedings{KingmaDP2014iclr,
	author="D. P. Kingma and M. Welling",
	title="Auto-Encoding Variational {Bayes}",
	booktitle=iclr,
	address="Banff, Alberta, Canada",
	year=2014
}

@inproceedings{KingmaDP2015iclr,
	author="D. P. Kingma and J. L. Ba",
	title="{Adam}: A Method for Stochastic Optimization",
	booktitle=iclr,
	address=venue-iclr-2015,
	year=2015
}

@article{KingmanJFC67pjm,
	author="J. F. C. Kingman",
	title="Completely Random Measures",
	pages="59--78",
	journal="Pacific Journal of Mathematics",
	volume=21,
	number=1,
	year=1967
}

@book{KingmanJFC93book,
	author="J. F. C. Kingman",
	title="Poisson Processes",
	publisher="Oxford Science Publications",
	year=1993
}

@article{KitagawaG96jcgs,
	author="G. Kitagawa",
	title="{Monte Carlo} Filter and Smoother for Non-{Gaussian} Nonlinear State Space Models",
	pages="1--25",
	journal="Journal of Computational and Graphical Statistics",
	volume=5,
	year=1996
}

@article{KlaassenCAJ97bernoulli,
	author="C. A. J. Klaassen and J. A. Wellner",
	title="Efficient Estimation in the Bivariate Normal Copula Model: Normal Margins are Least Favourable",
	pages="55--77",
	journal="Bernoulli",
	volume=3,
	number=1,
	year=1997
}

@inproceedings{KlamiA2007icml,
	author="A. Klami and S. Kaski",
	title="Local Dependent Components",
	booktitle=icml,
	address="Corvallis, OR",
	year=2007
}

@article{KlassD60eegcn,
	author="D. Klass and R. G. Bickford",
	title="Glossokinetic Potentials Appearing in the Electroencephalogram",
	journal="EEG and Clinical Neurophysilology",
	volume=12,
	year=1960
}

@article{KnerrS92ieeetnn,
	author="S. Knerr and L. Personnaz and G. Dreyfus",
	title="Handwritten Digit Recognition by Neural Networks with Single-Layer Training",
	pages="962--968",
	journal=ieeetnn,
	volume=3,
	year=1992
}

@inproceedings{KochG2015icml,
	author="G. Koch and R. Zemel and R. Salakhutdinov",
	title="Siamese Neural Networks for One-Shot Image Recognition",
	booktitle=icml,
	address="Lille, France",
	year=2015
}

@article{KocinskiJ2008speechcom,
	author="J. Kocinski",
	title="Speech Intelligibility Improvement using Convolutive Blind Source Separation Assisted by Denoising Algorithms",
	pages="29--37",
	journal="Speech Communication",
	volume=50,
	number=1,
	year=2008
}

@inproceedings{KoenigsteinN2013recsys,
	author="N. Koenigstein and U. Paquet",
	title="Xbox Movies Recommendations: Variational {Bayes} Matrix Factorization with Embedded Feature Selection",
	booktitle=recsys,
	address="Hong Kong, China",
	year=2013,
}

@book{Kohonen95book,
	author="T. Kohonen",
	title="Self-Organizing Maps",
	publisher="Springer",
	year=1995
}

@article{Kohonen96bc,
	author="T. Kohonen",
	title="Emergence of Invariant-Feature Detectors in the Adaptive Subspace Self-Organizing Map",
	pages="281--291",
	journal="Biological Cybernetics",
	volume=75,
	year=1996
}

@techreport{KoldaTG2006tr,
	author="T. G. Kolda",
	title="Multilinear Operators for Higher-Order Decompositions",
	number="SAND2006-2081",
	institution="Sandia National Laboratories",
	year=2006
}

@article{KolesZJ91eegcn,
	author="Z. J. Koles",
	title="The Quantitative Extraction and Topographic Mapping of the Abnormal Components",
	pages="440--447",
	journal="EEG and Clinical Neurophysilology",
	volume=79,
	issue=6,
	year=1991
}

@article{KolmogorovV2004ieeetpami,
	author="V. Kolmogorov and R. Zabih",
	title="What Energy Functions can be Minimized via Graph Cuts?",
	pages="147--159",
	journal=ieeetpami,
	volume=26,
	number=2,
	year=2004
}

@inproceedings{KomodakisN2006cvpr,
	author="N. Komodakis and G. Tziritas",
	title="Image Completion using Global Optimization",
	booktitle=cvpr,
	year=2006
}

@article{KompassR2007nc,
	author="R. Kompass",
	title="A Generalized Divergence Measure for Nonnegative Matrix Factorization",
	pages="780--791",
	journal=nc,
	volume=19,
	year=2007
}

@inproceedings{KondorRI2002icml,
	author="R. I. Kondor and J. Laferty",
	title="Diffusion Kernels on Graphs and Other Discrete Structures",
	booktitle=icml,
	year=2002
}

@article{KonstanJA97cacm,
	author="J. A. Konstan and B. N. Miller and D. Maltz and J. L. Herlocker and L. R. Gordon and J. Riedl",
	title="{GroupLens}: Applying Collaborative Filtering to Usenet News",
	pages="77--87",
	journal=cacm,
	volume=40,
	number=3,
	year=1997
}

@inproceedings{Kording2002ijcnn,
	author="K. P. {K\"ording} and P. {K\"ording} and D. J. Klein",
	title="Learning of Sparse Auditory Receptive Fields",
	booktitle=ijcnn,
	address="Honolulu, Hawaii",
	year=2002
}

@inproceedings{KorenY2008kdd,
	author="Y. Koren",
	title="Factorization Meets the Neighborhood: A  Multifaceted Collaborative Filtering Model",
	booktitle=kdd,
	address="Las Vegas, Nevada, USA",
	year=2008
}

@article{KorenY2009computer,
	author="Y. Koren and R. Bell and C. Volinsky",
	title="Matrix Factorization Techniques for Recommender Systems",
	pages="30--37",
	journal=computer,
	volume=42,
	number=8,
	year=2009
}

@inproceedings{Kosko86,
	author="B. Kosko",
	title="Differential {Hebbian} Learning",
	pages="277--282",
	booktitle="Proceedings of American Institute of Physics: Neural Networks for Computing",
	year=1986
}

@book{Kosko92,
	author="B. Kosko",
	title="Neural Networks and Fuzzy Systems",
	publisher="Prentice-Hall",
	address="Englewood Cliffs, New Jersey",
	year=1992
}

@article{KrauledatM2008plosone,
	author="M. Krauledat and M. Tangermann and B. Blankertz and K.-R. M{\"u}ller",
	title="Towards Zero Training for Brain-Computer Interfacing",
	journal="PLoS ONE",
	volume=3,
	year=2008
}

@inproceedings{KrauseA2003iswc,
	author="A. Krause and D. P. Siewiorek and A. Smailagic and J. Farringdon",
	title="Unsupervised, Dynamic Identification of Physiological and Activity Context in Wearable Computing",
	booktitle="Proceedings of the IEEE International Symposium on Wearable Computers (ISWC)",
	year=2003
}

@misc{KrebsV,
	author="V. Krebs",
	title="Books about {US} politics",
	note="Unpublished, http://www.orgnet.com/",
}

@techreport{KrizhevskyA2009tr,
	author="A. Krizhevsky and G. E. Hinton",
	title="Learning Multiple Layers of Features from Tiny Images",
	institution="Computer Science Department, University of Toronto",
	year=2009
}

@article{KroonenbergPM80psy,
	author="P. M. Kroonenberg and J. de Leeuw",
	title="Principal Component Analysis of Three-Mode Data by Means of Alternating Least Squares Algorithms",
	pages="69--97",
	journal="Psychometrika",
	volume=45,
	year=1980
}

@article{KruskalJB64psy_a,
	author="J. B. Kruskal",
	title="Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis",
	pages="1--27",
	journal="Psychometrika",
	volume=29,
	number=1,
	year=1964
}

@article{KruskalJB56pams,
	author="J. B. Kruskal",
	title="On the Shortest Spanning Subtree of a Graph and the Traveling Salesman Problem",
	pages="48--50",
	journal="Proceedings of the American Mathematical Society",
	volume=7,
	number=1,
	year=1956
}

@article{KruskalJB64psy_b,
	author="J. B. Kruskal",
	title="Nonmetric Multidimensional Scaling: A Numerical Method",
	pages="115--129",
	journal="Psychometrika",
	volume=29,
	number=2,
	year=1964
}

@article{KruskalJB77laa,
	author="J. B. Kruskal",
	title="Three-Way Arrays: Rank and Uniqueness of Trilinear Decompositions, with Application to Arithmetic Complexity and Statistics",
	pages="95--138",
	journal="Linear Algebra and its Applications",
	volume=18,
	number=2,
	year=1977
}

@inproceedings{KulisB2009iccv,
	author="B. Kulis and K. Grauman",
	title="Kernelized Locality-Sensitive Hashing for Scalable Image Seaerch",
	booktitle=iccv,
	address="Kyoto, Japan",
	year=2009
}

@inproceedings{KulisB2012icml,
	author="B. Kulis and M. I. Jordan",
	title="Revisiting $k$-Means: New Algorithms via {Bayesian} Nonparametrics",
	booktitle=icml,
	address="Edinburgh, Scotland, UK",
	year=2012
}

@inproceedings{KumarS2009aistats,
	author="S. Kumar and M. Mohri and A. Talwalkar",
	title="Sampling Techniques for the {Nystr{\"o}m} Method",
	booktitle=aistats,
	address="Clearwater Beach, FL",
	year=2009
}

@inproceedings{KumarS2009icml,
	author="S. Kumar and M. Mohri and A. Talwalkar",
	title="On Sampling-Based Approximate Spectral Decomposition",
	booktitle=icml,
	address="Montreal, Canada",
	year=2009
}

@inproceedings{KumarS2009nips,
	author="S. Kumar and M. Mohri",
	title="Ensemble {Nystr{\"o}m} Method",
	booktitle=nips,
	volume=22,
	year=2009
}

@inproceedings{KumarS2011ijcai,
	author="S. Kumar and R. Udupa",
	title="Learning Hash Functions for Cross-View Similarity Search",
	booktitle=ijcai,
	address="Barcelona, Spain",
	year=2011
}

@inproceedings{Kung90icassp,
	author="S. Y. Kung and K. I. Diamantaras",
	title="A Neural Network Learning Algorithm for Adaptive Principal Component Extraction ({APEX})",
	pages="861--864",
	booktitle=icassp ,
	year=1990
}

@inproceedings{Kung98icassp,
	author="S. Y. Kung and C. Mejuto",
	title="Extraction of Independent Components from Hybrid Mixture: {KuicNet} Learning Algorithm and Applications",
	pages="1209--1212",
	booktitle=icassp,
	year=1998
}

@inproceedings{Lacoste-JulienS2008nips,
	author="S. {Lacoste-Julien} and F. Sha and M. I. Jordan",
	title="{DiscLDA}: Discriminative Learning for Dimensionality Reduction and Classification",
	booktitle=nips,
	volume=21,
	year=2009
}

@article{LaerhovenK2001puc,
	author="K. {Van Laerhoven} and K. Aidoo",
	title="Teaching Context to Applications",
	pages="46--49",
	journal="Personal and Ubiquitous Computing",
	volume=5,
	year=2001
}

@inproceedings{LaiPL2000ijcnn,
	author="P. L. Lai and C. Fyfe",
	title="Kernel and Nonlinear Canonical Correlation Analysis",
	booktitle=ijcnn,
	year=2000
}

@inproceedings{LakshminarayananB2014neurips,
	author="B. Lakshminarayanan and D. M. Roy and Y. W. Teh",
	title="{Mondrian} Forests: Efficient Online Random Forests",
	booktitle=neurips,
	volume=27,
	pages="3140--3148",
	year=2014,
	address=venue-neurips-2014
}

@inproceedings{LakshminarayananB2016aistats,
	author="B. Lakshminarayanan and D. M. Roy and Y. W. Teh",
	title="{Mondrian} Forests for Large-Scale Regression when Uncertainty Matters",
	booktitle=aistats,
	pages="1478--1487",
	year=2016,
	address=venue-aistats-2016
}

@techreport{LalT2003tr,
	author="T. N. Lal and M. Schroder and T. Hinterberger and J. Weston and M. Bogdan and N. Birbaumer and B. {Sch\"olkopf}",
	title="Support Vector Channel Selection in {BCI}",
	institution="Max Planck Institute for Biological Cybernetics",
	number=120,
	year=2003
}

@inproceedings{Lambert96nips,
	author="R. H. Lambert and C. L. Nikias",
	title="Bussgang Methods for Separation of Multipath Mixtures",
	booktitle=nipsworkshop-blind,
	year=1996
}

@phdthesis{Lambert96phd,
	author="R. H. Lambert",
	title="Multichannel Blind Deconvolution: {FIR} Matrix Algebra and Separation of Multipath Mixtures",
	school="University of Southern California",
	month="May",
	year=1996
}

@inproceedings{Lambert97icassp,
	author="R. Lambert and A. Bell",
	title="Blind Separation of Multiple Speakers in a Multipath Environment",
	pages="423--426",
	booktitle=icassp,
	address="Munich, Germany",
	year=1997
}

@article{LanceGN67tcj,
	author="G. N. Lance and W. T. Williams",
	title="A General Theory of Classicificatory Sorting Strategies: 1 Hierarchical Systems",
	pages="373--380",
	journal="The Computing Journal",
	volume=9,
	year=1967
}

@inproceedings{Lathauwer95hos,
	author="L. {de Lathauwer} and D. Callaerts and B. {de Moor} and J. Vandewalle",
	title="Fetal Electrocardiogram Extraction by Source Subspace Separation",
	pages="134--138",
	booktitle=hos,
	year=1995
}

@article{LanchrietGRG2004jmlr,
	author="G. R. G. Lanchriet and N. Cristianini and P. L. Bartlett and L. E. Ghaoui and M. I. Jordan",
	title="Learning the Kernel Matrix with Semidefinite Programming",
	pages="27--72",
	journal=jmlr,
	volume=5,
	year=2004
}

@misc{LaptevN2015data,
	author="N. Laptev and S. Amizadeh and Y. Billawala",
	title="S5 - A Labeled Anomaly Detection Dataset, version 1.0",
	year=2015,
	note="available at http://webscope.sandbox.yahoo.com/catalog.php?datatype=s{\&}did=70",
}

@inproceedings{LarochelleH2007icml,
	author="H. Larochelle and D. Erhan and A. Courville and J. Bergstra and Y. Bengio",
	title="An Empirical Evaluation of Deep Architectures on Problems with Many Factors of Variation",
	booktitle=icml,
	address="Corvallis, OR, USA",
	year=2007
}

@inproceedings{LarochelleH2008icml,
	author="H. Larochelle and Y. Bengio",
	title="Classification using Discriminative Restricted {Boltzmann} Machines",
	booktitle=icml,
	address="Helsinki, Finland",
	year=2008
}

@article{LarochelleH2010neco,
	author="H. Larochelle and Y. Bengio and J. Turian",
	title="Tractable Multivariate Binary Density Estimation and the Restricted {Boltzmann} Forest",
	pages="2285--2307",
	journal=neco,
	volume=22,
	year=2010
}

@inproceedings{Lathauwer95nolta,
	author="L. {de Lathauwer} and P. Comon and B. {de Moor} and J. Vandewalle",
	title="Higher-order Power Method - Application in Independent Component Analysis",
	pages="91--96",
	booktitle=nolta,
	year=1996
}

@incollection{Lathauwer98mss,
	author="L. {de Lathauwer} and B. {de Moor}",
	title="From Matrix to Tensor: Multilinear Algebra and Signal Processing",
	pages="1--15",
	editor="J. McWhirter",
	booktitle="Mathematics in Signal Processing IV",
	publisher="Oxford University Press",
	year=1998
}

@article{Lathauwer2000siamjmaa-a,
	author="L. {de Lathauwer} and B. {de Moor} and J. Vandewalle",
	title="A Multilinear Singular Value Decomposition",
	pages="1253--1278",
	journal=siamjmaa,
	volume=21,
	number=4,
	year=2000
}

@article{Lathauwer2000siamjmaa-b,
	author="L. {de Lathauwer} and B. {de Moor} and J. Vandewalle",
	title="One the Best Rank-1 and Rank-{$(R_1,R_2,\ldots,R_N)$} Approximation of Higher-Order Tensros",
	pages="1324--1342",
	journal=siamjmaa,
	volume=21,
	number=4,
	year=2000
}

@inproceedings{LathiaN2008recsys,
	author="N. Lathia and S. Hailes and L. Capra",
	title="{kNN CF}: A Temporal Social Network",
	booktitle=recsys,
	address="Lausanne, Switzerland",
	year=2008
}

@article{LaubJ2004jmlr,
	author="J. Laub and K.{-R.} M{\"u}ller",
	title="Feature Discovery in Non-Metric Pairwise Data",
	pages="801--818",
	journal=jmlr,
	volume=5,
	year=2004
}

@inproceedings{LawrenceN2002nips,
	author="N. Lawrence and M. Seeger and R. Herbrich",
	title="Fast Sparse {Gaussian} Process Models: The Informative Vector Machine",
	booktitle=nips,
	volume=15,
	year=2003
}

@inproceedings{LawrenceN2003nips,
	author="N. Lawrence",
	title="Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data",
	booktitle=nips,
	volume=16,
	year=2004
}

@inproceedings{LawrenceN2007aistats,
	author="N. Lawrence",
	title="Learning for Larger Datasets with the {Gaussian} Process Latent Variable Model",
	booktitle=aistats,
	address="San Juan, Puerto Rico",
	year=2007
}

@book{LawsonCL74book,
	author="C. L. Lawson and R. J. Hanson",
	title="Solving Least Squares Problems",
	publisher="Prentice-Hall",
	year=1974
}

@inproceedings{LazaroGredillaM2009nips,
	author="M. {Lazaro-Gredilla} and A. {Figueiras-Vidal}",
	title="Inter-Domain {Gaussian} Processes for Sparse Inference using Inducing Features",
	booktitle=nips,
	volume=22,
	year=2009
}

@inproceedings{LeQV2012icml,
	author="Q. V. Le and M. Ranzato and R. Monga and M. Devin and K. Chen and G. S. Corrado and J. Dean and A. Y. Ng",
	title="Building High-level Features using Large Scale Unsupervised Learning",
	booktitle=icml,
	address="Edinburgh, Scotland, UK",
	year=2012
}

@article{LeCunY98procieee,
	author="Y. {LeCun} and L. Bottou and Y. Bengio and P. Haffner",
	title="Gradient-based Learning Applied to Document Recognition",
	journal=procieee,
	volume=86,
	number=11,
	pages="2278--2324",
	year=1998
}

@inproceedings{LeCunY2004cvpr,
	author="Y. {LeCun} and F. J. Huang and L. Bottou",
	title="Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting",
	booktitle=cvpr,
	address="Washington, DC",
	year=2004
}

@article{LeeBI2007jvlsi,
	author="B. I. Lee and J. S. Lee and D. S. Lee and W. J. Kang and J. J. Lee and S. Choi",
	title="A Clinical Application of Ensemble {ICA} to the Quantification of Myocardial Blood Flow in Dynamic {PET}",
	pages="233--241",
	journal=jvlsi,
	volume=49,
	year=2007
}

@inproceedings{LeeDC2010eccv,
	author="D. C. Lee and Q. Ke and M. Isard",
	title="Partition Min-Hash for Partial Duplicate Image Discovery",
	booktitle=eccv,
	address="Crete, Greece",
	year=2010
}

@article{LeeKC2005ieeetpami,
	author="K. -C. Lee and J. Ho and D. Kriegman",
	title="Acquiring Linear Subspaces for Face Recognition under Variable Lighting",
	pages="1--15",
	journal=ieeetpami,
	volume=27,
	number=5,
	year=2005
}

@inproceedings{LeeDD96nips,
	author="D. D. Lee and H. S. Seung",
	title="Unsupervised Learning by Convex and Conic Coding",
	pages="515--521",
	volume=9,
	booktitle=nips,
	year=1997
}

@article{LeeDD99nature,
	author="D. D. Lee and H. S. Seung",
	title="Learning the Parts of Objects by Non-negative Matrix Factorization",
	pages="788--791",
	journal=nature,
	volume=401,
	year=1999
}

@inproceedings{LeeDD2000nips,
	author="D. D. Lee and H. S. Seung",
	title="Algorithms for Non-negative Matrix Factorization",
	volume=13,
	booktitle=nips,
	year=2001
}

@inproceedings{LeeDS2000iconip,
	author="D. S. Lee and J. S. Lee and J. Y. Ahn",
	title="Application of Independent Component Analysis to Dynamic {$H_2^{15} O$} Positron Emission Tomography",
	pages="1221--1226",
	booktitle="Prof. ICONIP",
	year=2000
}

@inproceedings{LeeHK2002iconip,
	author="H. Lee and S. Choi",
	title="{PCA}-Based Linear Dynamical Systems for Multichannel {EEG} Classification",
	pages="745--749",
	booktitle=iconip,
	address="Singapore",
	year=2002
}

@inproceedings{LeeHK2003isspa,
	author="H. Lee and S. Choi",
	title="{PCA+HMM+SVM} for {EEG} Pattern Classification",
	pages="541--544",
	booktitle="Proceedings of the International Symposium on Signal Processing and Its Applications",
	address="Paris, France",
	year=2003
}

@inproceedings{LeeHK2006icann,
	author="H. Lee and A. Cichocki and S. Choi",
	title="Nonnegative Matrix Factorization for Motor Imagery {EEG} Classification",
	booktitle=icann,
	address="Athens, Greece",
	publisher="Springer",
	year=2006
}

@article{LeeHK2007ijns,
	author="H. Lee and Y. {-D.} Kim and A. Cichocki and S. Choi",
	title="Nonnegative Tensor Factorization for Continuous {EEG} Classification",
	pages="305--317",
	journal=ijns,
	volume=17,
	number=4,
	year=2007
}

@inproceedings{LeeHK2008ijcnn,
	author="H. Lee and S. Choi",
	title="{CUR+NMF} for Learning Spectral Features from Large Data Matrix",
	booktitle=ijcnn,
	address="Hong Kong",
	year=2008
}

@inproceedings{LeeHK2009aistats,
	author="H. Lee and S. Choi",
	title="Group Nonnegative Matrix Factorization for {EEG} Classification",
	booktitle=aistats,
	address="Clearwater Beach, Florida",
	year=2009
}

@article{LeeHK2009neucom,
	author="H. Lee and A. Cichocki and S. Choi",
	title="Kernel Nonnegative Matrix Factorization for Spectral {EEG} Feature Extraction",
	pages="3182--3190",
	journal=neucom,
	volume=72,
	year=2009
}

@article{LeeHK2010ieeespl,
	author="H. Lee and J. Yoo and S. Choi",
	title="Semi-Supervised Nonnegative Matrix Factorization",
	pages="4--7",
	journal=ieeespl,
	volume=17,
	number=1,
	year=2010
}

@inproceedings{LeeHL2007nips,
	author="H. Lee and C. Ekanadham and A. Y. Ng",
	title="Sparse Deep Belief Net Model for Visual Area {V2}",
	booktitle=nips,
	volume=20,
	year=2008
}

@inproceedings{LeeJS2001mic,
	author="J. S. Lee and D. D. Lee and S. Choi and K. S. Park and D. S. Lee",
	title="Nonnegative Matrix Factorization of Dynamic Images in Nuclear Medicine",
	booktitle="IEEE Medical Imaging Conference",
	year=2001
}

@inproceedings{LeeJS2001ica,
	author="J. S. Lee and D. D. Lee and S. Choi and D. S. Lee",
	title="Application of Non-negative Matrix Factorization to Dynamic Positron Emission Tomography",
	pages="629--632",
	booktitle=ica,
	address="San Diego, California",
	year=2001
}

@article{LeeJH2008neuroimage,
	author="J.-H. Lee and T.-W. Lee and F. A. Jolesz and S.-S. Yoo",
	title="Independent Vector Analysis {(IVA)}: Multivariate Approach for {fMRI} Group Study",
	pages="86--109",
	journal="NeuroImage",
	volume=40,
	year=2008
}

@inproceedings{LeeJH2012eccv,
	author="J. Lee and S. Kwak and B. Han and S. Choi",
	title="Online Video Segmentation by {Bayesian} Split-Merge Clustering",
	booktitle=eccv,
	address="Firenze, Italy",
	year=2012
}

@inproceedings{LeeJH2014aistats,
	author="J. Lee and S. Choi",
	title="Incremental Tree-Based Inference with Dependent Normalized Random Measures",
	booktitle=aistats,
	address="Reykjavik, Iceland",
	year=2014
}

@inproceedings{LeeJH2015aistats,
	author="J. Lee and S. Choi",
	title="{Bayesian} Hierarchical Clustering with Exponential Family: Small-Variance Asymptotics and Reducibility",
	booktitle=aistats,
	address="San Diego, CA, USA",
	year=2015
}

@inproceedings{LeeJH2015nips,
	author="J. Lee and S. Choi",
	title="Tree-Guided {MCMC} Inference for Normalized Random Measure Mixture Models",
	booktitle=nips,
	volume=28,
	year=2015
}

@inproceedings{LeeJH2016nips,
	author="J. Lee and L. F. James and S. Choi",
	title="Finite-Dimensional {BFRY} Priors and Variational {Bayesian} Inference for Power Law Models",
	booktitle=nips,
	volume=29,
	year=2016
}

@article{LeeKY96ieeespl,
	author="K. Y. Lee and K. Shirai",
	title="Efficient Recursive Estimation for Speech Enhancement in Colored Noise",
	pages="196--199",
	journal=ieeespl,
	volume=3,
	year=1996
}

@inproceedings{LeeSH2007ijcai,
	author="S. Lee and I. Jeong and S. Choi",
	title="Dynamically Weighted Hidden {Markov} Model for Spam Deobfuscation",
	booktitle=ijcai,
	address="Hyderabad, India",
	year=2007
}

@article{LeeSH2007ieeespl,
	author="S. H. Lee and S. Choi",
	title="Two-Dimensional Canonical Correlation Analysis",
	pages="753--758",
	journal=ieeespl,
	volume=14,
	number=10,
	year=2007
}

@inproceedings{LeeSH2009icassp,
	author="S. Lee and S. Choi",
	title="Ensembles of Landmark Multidimensional Scalings",
	booktitle=icassp,
	address="Taipei, Taiwan",
	year=2009
}

@article{LeeSH2009pr,
	author="S. Lee and S. Choi",
	title="Landmark {MDS} Ensemble",
	pages="2045--2053",
	journal=pr,
	volume=42,
	number=9,
	year=2009
}

@article{LeeTS96ieeetpami,
	author="T. S. Lee",
	title="Image Representation Using {2D} {Gabor} Wavelets",
	pages="959--971",
	journal=ieeetpami,
	volume=18,
	number=10,
	year=1996
}

@inproceedings{LeeTW96nips,
	author="T.{-W}. Lee and A. Bell and R. Lambert",
	title="Blind Separation of Delayed and Convolved Sources",
	pages="758--764",
	volume=9,
	booktitle=nips,
	year=1997
}

@inproceedings{LeeTW98icassp,
	author="T.{-W}. Lee and A. Ziehe and  R. Orglmeister and T.J. Sejnowski",
	title="Combining Time-delayed Decorrelation and {ICA}: towards Solving the Cocktail Party Problem",
	booktitle=icassp,
	pages="1249--1252",
	address="Seattle, WA",
	year=1998
}

@inproceedings{LeeTW98nips,
	author="T.{-W}. Lee and M. Lewicki and T. Sejnowski",
	title="Unsupervised Classification with Non {Gaussian} Mixture Models using {ICA}",
	volume=11,
	booktitle=nips,
	publisher="MIT Press",
	year=1999
}

@book{LeeTW98book,
	author="T.{-W.} Lee",
	title="Independent Component Analysis: Theory and Applications",
	publisher="Kluwer Academic Publishers",
	address="Boston",
	year=1998
}

@article{LeeTW2000mcm,
	author="T. {-W}. Lee and M. Girolami and A. Bell and T. Sejnowski",
	title="A Unifying Information-theoretic Framework for Independent Component Analysis",
	journal=mcm,
	volume=39,
	number=11,
	pages="1--21",
	year=2000
}

@article{LeeTW99nc,
	author="T.{-W}. Lee and M. Girolami and T. Sejnowski",
	title="Independent Component Analysis Using an Extended Infomax Algorithm for Mixed sub-{Gaussian} and super-{Gaussian} Sources",
	journal=nc,
	volume=11,
	number=2,
	pages="609--633",
	year="1999"
}

@inproceedings{LeeTW99ica,
	author="T.{-W}. Lee and M. Lewicki and T. Sejnowski",
	title="{ICA} Mixture Models for Unsupervised Classification and Automatic Context Switching",
	booktitle=ica99,
	pages="209--214",
	address="Aussois, France",
	year=1999
}

@inproceedings{LeeYJ2004ijcnn,
	author="Y. Lee and S. Choi",
	title="Minimum Entropy, K-Means, Spectral Clustering",
	pages="117--122",
	booktitle=ijcnn,
	address="Budapest, Hungary",
	year=2004
}

@article{LeeYJ2005prl,
	author="Y. Lee and S. Choi",
	title="Maximum Within-Cluster Association",
	pages="1412--1422",
	journal=prl,
	volume=26,
	number=10,
	year=2005
}

@article{LemmS2004ieeetbme,
	author="S. Lemm and C. {Sch\"afer} and G. Curio",
	title="{BCI} Competition 2003-Data Set {III}: Probabilistic Modeling of Sensorimotor $\mu$ Rhythms for Classification of Imaginary Hand Movements",
	journal="IEEE Transactions on Biomedical Engineering",
	volume=51,
	number=6,
	year=2004
}

@article{LemmS2005ieeetbme,
	author="S. Lemm and B. Blankertz and G. Curio and K. -R. M{\"u}ller",
	title="Spatio-Spectral Filters for Improving the Classification of Single Trial {EEG}",
	pages="1541--1548",
	journal=ieeetbme,
	volume=52,
	number=9,
	year=2005
}

@article{LeskovecJ2010jmlr,
	author="J. Leskovec and D. Chakrabarti and J. Kleinberg and C. Faloutsos and Z. Ghahrmani",
	title="{Kronecker} Graphs: An Approach to Modeling Networks",
	pages="985--1042",
	journal=jmlr,
	volume=11,
	year=2010
}

@article{Lewicki99josam,
	author="M. S. Lewicki and B. A. Olshausen",
	title="A Probabilistic Framework for the Adaptation and Comparison of Image Codes",
	journal="J. Opt. Soc. of Am. A: Optics, Image Science, and Vision",
	pages="1587--1601",
	volume=16,
	number=7,
	year=1999
}

@article{Lewicki2000nc,
	author="M. S. Lewicki and T. Sejnowski",
	title="Learning Overcomplete Representation",
	journal=nc,
	pages="337--365",
	volume=12,
	number=2,
	year=2000
}

@article{Lewicki2002nature,
	author="M. S. Lewicki",
	title="Efficient Coding of Natural Sounds",
	journal="Nature Neuroscience",
	pages="356--363",
	volume=5,
	number=4,
	year=2002
}

@article{LewisDD2004jmlr,
	author="D. D. Lewis and Y. Yang and T. G. Rose and F. Li",
	title="{RCV1:} A New Benchmark Collection for Text Categorization Research",
	pages="361--397",
	journal=jmlr,
	volume=5,
	year=2004
}

@book{LewisM2004book,
	author="M. Lewis",
	title="Moneyball: The Art of Winning an Unfair Game",
	publisher="W. W. Norton \& Company",
	year=2004
}

@inproceedings{LiangP2007icml,
	author="P. Liang and M. I. Jordan and B. Taskar",
	title="A Permutation-Augmented Sampler for {DP} Mixture Models",
	booktitle=icml,
	address="Corvallis, OR, USA",
	year=2007
}

@article{LiJ2003ieeetpami,
	author="J. Li and J. Z. Wang",
	title="Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach",
	pages="1075--1088",
	journal=ieeetpami,
	volume=25,
	number=9,
	year=2003
}

@inproceedings{LiH2005mlsp,
	author="H. Li and T. Adali and W. Wang and D. Emge",
	title="Non-Negative Matrix Factorization with Orthogonality Constraints for Chemical Agent Detection in {Raman} Spectra",
	booktitle=mlsp,
	address="Mystic, Connecticut",
	year=2005
}

@article{LiH2007vlsi,
	author="H. Li and T. Adali and W. Wang and D. Emge and A. Cichocki",
	title="Non-Negative Matrix Factorization with Orthogonality Constraints and its Application to {Raman} Spectroscopy",
	pages="83--97",
	journal=jvlsi,
	volume=48,
	year=2007
}

@inproceedings{LiM2010icml,
	author="M. Li and J. T. Kwok and B. -L. Lu",
	title="Making Large-Scale {Nystr\"om} Approximation Possible",
	booktitle=icml,
	address="Haifa, Israel",
	year=2010
}

@inproceedings{LiSZ2001cvpr,
	author="S. Z. Li and X. W. Hou and H. J. Zhang and Q. S. Cheng",
	title="Learning Spatially Localized Parts-based Representation",
	booktitle=cvpr,
	pages="207--212",
	address="Kauai, Hawaii",
	year=2001
}

@inproceedings{LiSZ2001iccv,
	author="S. Z. Li and X. Lv and H. Zhang",
	title="View-Based Clustering of Object Appearances Based on Independent Subspace Analysis",
	pages="295--300",
	booktitle=iccv,
	address="Vancouver, Canada",
	year=2001
}

@book{LiSZ2001book,
	author="S. Z. Li",
	title="Markov Random Field Modeling in Image Analysis",
	edition=2,
	publisher="Springer",
	year=2001
}

@inproceedings{LiW2006icml,
	author="W. Li and A. {McCallum}",
	title="Pachinko Allocation: {DAG}-Structured Mixture Models of Topic Correlations",
	booktitle=icml,
	address="Pittsburgh, PA, USA",
	year=2006
}

@inproceedings{LiX2007icml,
	author="X. Li and W. K. W. Cheung and J. Liu and Z. Wu",
	title="A Novel Orthogonal {NMF}-Based Belief Compression for {POMDPs}",
	booktitle=icml,
	address="Corvallis, Oregon",
	year=2007
}

@article{LiY2006jiis,
	author="Y. Li and J. {Shawe-Taylor}",
	title="Using {KCCA} for {Japanese-English} Cross-Language Information Retrieval and Document Classification",
	pages="117--133",
	journal=jiis,
	volume=27,
	number=2,
	year=2006
}

@article{LiY2006ieeetnn,
	author="Y.  Li and A.  Cichocki and S. Amari",
	title="Blind Estimation of Channel Parameters and Source Components for {EEG} Signals: A Sparse Factorization Approach",
	pages="419--431",
	journal=ieeetnn,
	volume=17,
	number=2,
	year=2006
}

@inproceedings{LiY2004siggraph,
	author="Y. Li and J. Sun and C. -K. Tang and H. -Y. Shum",
	title="Lazy Snapping",
	pages="303--308",
	booktitle=siggraph,
	year=2004
}

@inproceedings{LiY2015icml,
	author="Y. Li and K. Swersky and R. Zemel",
	title="Generative Moment Matching Networks",
	booktitle=icml,
	address="Lille, France",
	pages={1718--1727},
	year=2015
}

@inproceedings{LiYF2009icml,
	author="Y. -F. Li and J. T. Kwok and Z. -H. Zhou",
	title="Semi-Supervised Learning using Label Mean",
	booktitle=icml,
	address="Montreal, Canada",
	year=2009
}

@article{LiaoX2007ieeetbme,
	author="X. Liao and Y. Dezhong and D. Wu and C. Li",
	title="Combining Spatial Filters for the Classification of Single-Trial {EEG} in a Finger Movement Task",
	pages="821--831",
	journal=ieeetbme,
	volume=54,
	number=5,
	year=2007
}

@article{Liebermeister2002bioinformatics,
	author="W. Liebermeister",
	title="Linear Modes of Gene Expression Determined by Independent Component Analysis",
	journal="Bioinformatics",
	volume=18,
	number=1,
	pages="51--60",
	year=2002
}

@article{LijoiA2005jasa,
	author="A. Lijoi and R. H. Mena and I. Pr{\"u}nster",
	title="Hierarchical Mixture Modeling With Normalized Inverse-{Gaussian} Priors",
	pages="1278--1291",
	journal=jasa,
	volume=100,
	number=472,
	year=2005
}

@article{LijoiA2007jrssb,
	author="A. Lijoi and R. H. Mena and I. Pr{\"u}nster",
	title="Controlling the Reinforcement in {Bayesian} Non-Parametric Mixture Models",
	pages="715--740",
	journal=jrssb,
	volume=69,
	year=2007
}

@article{LimJS78ieeetassp,
	author="J. S. Lim and A. V. Oppenheim",
	title="All-Pole Modeling of Degraded Speech",
	pages="197--210",
	journal=ieeetassp,
	volume=26,
	year=1978
}

@inproceedings{LimJS79procieee,
	author="J. S. Lim and A. V. Oppenheim",
	title="Enhancement and Bandwidth Compression of Noisy Speech",
	booktitle="Proceedings of of the IEEE",
	volume=67,
	number=12,
	year=1979
}

@techreport{LinCJ2005tr_a,
	author="C.{-J.} Lin",
	title="Projected Gradient Methods for Non-Negative Matrix Factorization",
	institution="Department of Computer Science, National Taiwan University",
	url="http://www.csie.ntu.edu.tw/~cjlin/papers/pgradnmf.pdf",
	year=2005
}

@techreport{LinCJ2005tr_b,
	author="C.{-J.} Lin",
	title="On the Convergence of Multiplicative Update Algorithms for Non-Negative Matrix Factorization",
	institution="Department of Computer Science, National Taiwan University",
	url="http://www.csie.ntu.edu.tw/~cjlin/papers/multconv.pdf",
	year=2005
}

@article{LinCJ2007nc,
	author="C.{-J.} Lin",
	title="Projected Gradient Methods for Non-Negative Matrix Factorization",
	pages="2756--2779",
	journal=nc,
	volume=19,
	year=2007
}

@article{LinCJ2007ieeetnn,
	author="C.{-J.} Lin",
	title="On the Convergence of Multiplicative Update Algorithms for Non-Negative Matrix Factorization",
	pages="1589--1596",
	journal=ieeetnn,
	volume=18,
	year=2007
}

@inproceedings{LinD2007cvpr,
	author="D. Lin and X. Tang",
	title="Quality-Driven Face Occlusion Detection and Recovery",
	booktitle=cvpr,
	year=2007
}

@inproceedings{LinD2010nips,
	author="D. Lin and E. Grimson and J. Fisher",
	title="Construction of Dependent {Dirichlet} Processes Based on {Poisson} Processes",
	booktitle=nips,
	volume=23,
	publisher="MIT Press",
	year=2010
}

@article{LinHT2007mlj,
	author="H.-T. Lin and C.-J. Lin and R. C. Weng",
	title="A Note on {Platt}'s Probabilistic Outputs for Support Vector Machine",
	pages="267--276",
	journal=mlj,
	volume=68,
	number=3,
	year=2007
}

@inproceedings{LingCX2003lnai,
	author="C. X. Ling and J. Huang and H. Zhang",
	title="{AUC:} A Better Measure than Accuracy in Comparing Learning Algorithms",
	pages="329--341",
	booktitle="Lecture Notes in Artificial Intelligence",
	volume=2671,
	publisher="Springer",
	year=2003
}

@inproceedings{LingG2012uai,
	author="G. Ling and H. Yang and M. R. Lyu and I. King",
	title="Response Aware Model-Based Collaborative Filtering",
	booktitle=uai,
	address="Catalina Island, California, USA",
	year=2012
}

@article{Linsker88,
	author="R. Linsker",
	title="Self-organization in a Perceptual Network",
	journal="Computer",
	pages="105--117",
	volume=21,
	year=1988
}

@book{LittleRJA87book,
	author="R. J. A. Little and D. B. Rubin",
	title="Statistical Analysis with Missing Data",
	publisher="John Willey \& Sons, Inc.",
	year=1987
}


@article{LiuC98biometrika,
	author="C. Liu and D. B. Rubin and Y. N. Wu",
	title="Parameter Expansion to Accelerate {EM}: The {PX-EM} Algorithm",
	pages="755--770",
	journal="Biometrika",
	volume=85,
	number=4,
	year=1998
}

@article{LiuC2007ijcv,
	author="C. Liu and H. Y. Shum and W. T. Freeman",
	title="Face Hallucination: Theory and Practice",
	pages="115--134",
	journal=ijcv ,
	volume=75,
	number=1,
	year=2007
}

@article{LiuDC1989mp,
	author="D. C. Liu and J. Nocedal",
	title="On the Limited Memory {BFGS} Method for Large Scale Optimization",
	pages="503--528",
	journal="Mathematical Programming",
	volume=45,
	number=3,
	year=1989
}

@article{LiuJ2009pr,
	author="J. Liu and M. Li and Q. Liu and H. Lu and S. Ma",
	title="Image Annotation via Graph Learning",
	pages="218--228",
	journal=pr,
	volume=42,
	number=2,
	year=2009
}

@article{LiuH2009jmlr,
	author="H. Liu and J. Lafferty and L. Wasserman",
	title="The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs",
	pages="2295--2328",
	journal=jmlr,
	volume=10,
	year=2009
}


@inproceedings{LiuM2010cvpr,
	author="M. Liu and B. C. Vemuri and S. -I. Amari and F. Nielsen",
	title="Total {Bregman} Divergence and its Applications to Shape Retrieval",
	booktitle=cvpr,
	address="San Francisco, CA",
	year=2010
}

@article{LiuR97ieeetcasi,
	author="R. Liu and G. Dong",
	title="A Fundamental Theorem for Multiple-channel Blind Equalization",
	journal=ieeetcasi,
	volume=44,
	pages="472--473",
	year=1997
}

@inproceedings{LiuR98cnn,
	author="R. Liu and H. Luo",
	title="Direct Blind Separation of Independent Non-Gaussian Signals with Dynamic Channels",
	booktitle=cnn,
	pages="34--37",
	address="London, UK",
	year=1998
}

@inproceedings{LiuR99ica,
	author="R. Liu and Y. Inouye",
	title="Direct Blind Signal Separation of Covolutive Mixtures of White Spatially Independent Non-Gaussian Signals",
	booktitle=ica99,
	pages="233-238",
	address="Aussois",
	year=1999
}

@inproceedings{LiuT2003nips,
	author="T. Liu and A. Moore and A. Gray",
	title="Efficient Exact k-{NN} and Nonparametric Classification in High Dimensions",
	booktitle=nips,
	volume=16,
	year=2004
}

@inproceedings{LiuT2007wacv,
	author="T. Liu and C. Rosenburg and H. A. Rowley",
	title="Clustering Billions of Images with Large Scale Nearest Neighbor Search",
	booktitle=wacv,
	year=2007
}

@inproceedings{LiuTY2007sigir,
	author="T.-Y. Liu and J. Xu and T. Qin and W. Xiong and H. Li",
	title="{LETOR}: Benchmark Dataset for Research on Learning to Rank for Information Retrieval",
	booktitle="Proceedings of the SIGIR-2007 Workshop on Learning to Rank for Information Retrieval",
	address="Amsterdam, Netherlands",
	year=2007
}

@inproceedings{LiuW2010icml,
	author="W. Liu and J. He and S.-F. Chang",
	title="Large Graph Construction for Scalable Semi-Supervised Learning",
	booktitle=icml,
	address="Hiafa, Israel",
	year=2010
}

@inproceedings{LiuW2011icml,
	author="W. Liu and J. Wang and S. Kumar and S.-F. Chang",
	title="Hashing with Graphs",
	booktitle=icml,
	address="Bellevue, WA",
	year=2011
}

@inproceedings{LiuW2012cvpr,
	author="W. Liu and J. Wang and R. Ji and Y.-G. Jiang and S.-F. Chang",
	title="Supervised Hashing with Kernels",
	booktitle=cvpr,
	address="Providence, Rhode Island, USA",
	year=2012
}

@inproceedings{LiuW2014nips,
	author="W. Liu and C. Mu and S. Kumar and S.-F. Chang",
	title="Discrete Graph Hashing",
	booktitle=nips,
	volume=27,
	year=2014
}

@inproceedings{LiuY2006aaai,
	author="Y. Liu and R. Jin and L. Yang",
	title="Semi-Supervised Multi-Label Learning by Constrained Non-Negative Matrix Factorization",
	booktitle=aaai,
	year=2006
}

@inproceedings{LongB2005kdd,
	author="B. Long and Z. Zhang and P. S. Yu",
	title="Co-Clustering by Block Value Decomposition",
	booktitle=kdd,
	address="Chicago, IL",
	year=2005
}

@inproceedings{LongB2006icml,
	author="B. Long and Z. Zhang and X. Wu and P. S. Yu",
	title="Spectral Clustering for Multi-Type Relational Data",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@article{LorenaAC2008air,
	author="A. C. Lorena and A. C. Carvalho and J. M. Gama",
	title="A Review on the Combination of Binary Classifiers in Multiclass Problems",
	pages="19--37",
	journal="Artificial Intelligence Review",
	volume=30,
	year=2008
}

@inproceedings{LotteF2010icassp,
	author="F. Lotte and C. Guan",
	title="Learning from Other Subjects Helps Reducing Brain-Computer Interface Calibration Time",
	booktitle=icassp,
	address="Dallas, Texas, USA",
	year=2010
}

@article{LotteF2011ieeetbme,
	author="F. Lotte and C. Guan",
	title="Regularizing Common Spatial Patterns to Improve {BCI} Designs: Unified Theory and New Algorithms",
	pages="355--362",
	journal=ieeetbme,
	volume=58,
	number=2,
	year=2011
}

@book{LovaszL86,
	author="L. Lovasz and M. Plummer",
	title="Matching Theory",
	publisher="Akademiai Kiado",
	year=1986
}

@inproceedings{LowSY2004icassp,
	author="S. Y. Low and T. Roberto and N. Sven",
	title="Spatio-Temporal Processing for Distant Speech Recognition",
	booktitle=icassp,
	address="Montreal, Canada",
	year=2004
}

@article{LoweDG2004ijcv,
	author="D. G. Lowe",
	title="Distinctive Image Features from Scale-Invariant Keypoints",
	pages="91--110",
	journal=ijcv,
	volume=60,
	number=2,
	year=2004
}

@inproceedings{LoweDG99iccv,
	author="D. G. Lowe",
	title="Object Recognition from Local Scale-Invariant Features",
	pages="1150--1157",
	booktitle=iccv,
	year=1999
}

@article{LuH2010ieeetbme,
	author="H. Lu and H.-L. Eng and C. Guan and K. N. Plataniotis and A. N. Venetsanopoulos",
	title="Regularized Common Spatial Pattern With Aggregation for {EEG} Classification in Small-Sample Setting",
	pages="2936--2946",
	journal=ieeetbme,
	volume=57,
	number=12,
	year=2010
}

@inproceedings{LuH2010sensys,
	author="H. Lu and J. Yang and Z. Liu and N. D. Lane and T. Choudhury and A. T. Campbell",
	title="The Jigsaw Continuous Sensing Engine for Mobile Phone Applications",
	booktitle="Proceedings of the ACM Conference on Embedded Networked Sensor Systems (SenSys)",
	address="Zurich, Switzerland",
	year=2010
}

@article{LuJ2003ieeetnn,
	author="J. Lu and K. N. Plataniotis and A. N. Venetsanopoulos",
	title="Face Recognition Using {LDA} Based Algorithms",
	pages="195--200",
	journal=ieeetnn,
	volume=14,
	number=1,
	year=2003
}

@article{LuJ2003prl,
	author="J. Lu and K. N. Plataniotis and A. N. Venetsanopoulos",
	title="Regularized Discriminant Analysis for the Small Sample Size Problem",
	pages="3079--3087",
	journal=prl,
	volume=24,
	number=16,
	year=2003
}

@article{LuJ2005prl,
	author="J. Lu and K. N. Plataniotis and A. N. Venetsanopoulos",
	title="Regularization Studies of Linear Discriminant Analysis in Small Sample Size Scenarios with Application to Face Recognition",
	pages="181--191",
	journal=prl,
	volume=26,
	number=2,
	year=2005
}

@article{LuJ2005pr,
	author="J. Lu and K. N. Plataniotis and A. N. Venetsanopoulos and J. Wang",
	title="An Efficient Kernel Discriminant Analysis Method",
	pages="1788--1790",
	journal=pr,
	volume=38,
	number=10,
	year=2005
}

@article{LuJ2006ieeetnn,
	author="J. Lu and K. N. Plataniotis and A. N. Venetsanopoulos and S. Z. Li",
	title="Ensmeble-based Discriminant Learning with Boosting for Face Recognition",
	pages="166--178",
	journal=ieeetnn,
	volume=17,
	number=1,
	year=2006
}

@article{LuN2005spl,
	author="N. Lu and D. L. Zimmerman",
	title="The Likelihood Ratio Test for a Separable Covariance Matrix",
	pages="449--457",
	journal="Statistics \& Probability Letters",
	volume=73,
	year=2005
}

@incollection{LukoseviciusM2012,
	author="M. Luko{\v s}evi{\v c}ius",
	title="A Practical Guide to Applying Echo State Networks",
	pages="659--686",
	editor="G. Montavon and G. B. Orr and K.-R. M{\" u}ller",
	booktitle="Neural Networks: Tricks of the Trade",
	publisher="Springer",
	year=2012
}

@article{LuoH2008ml,
	author="H. Luo and C. Niu and R. Shen and C. Ullrich",
	title="A Collaborative Filtering Framework based on Both Local User Similarity and Global User Similarity",
	pages="231--245",
	journal=ml,
	volume=72,
	number=3,
	year=2008
}

@inproceedings{LuoH2011aaai,
	author="H. Luo and R. Shen and C. Niu and C. Ullrich",
	title="Sparse Group Restricted {Boltzmann} Machines",
	booktitle=aaai,
	address="San Francisco, CA, USA",
	year=2011
}

@article{LuttinenJ2010neucom,
	author="J. Luttinen and A. Ilin",
	title="Transformations in Variational {Bayesian} Factor Analysis to Speed up Learning",
	pages="1093--1102",
	journal=neucom,
	volume=73,
	year=2010
}

@techreport{LuxburgU2006tr,
	author="U. {von Luxburg}",
	title="A Tutorial on Spectral Clustering",
	number="TR-149",
	institution="Max Planck Institute for Biological Cybernetics",
	year=2006
}

@article{MaatenL2008jmlr,
	author="L. {van der Maaten} and G. Hinton",
	title="Visualizing Data using {t-SNE}",
	pages="2579--2605",
	journal=jmlr,
	volume=9,
	year=2008
}

@inproceedings{MacEachernSN99sbss,
	author="S. N. {MacEachern}",
	title="Dependent Nonparametric Processes",
	booktitle="Proceedings of the Section on Bayesian Statistical Science",
	year=1999
}

@techreport{MacEachernSN2000tr,
	author="S. N. {MacEachern}",
	title="Dependent {Dirichlet} Processes",
	institution="Ohio State University",
	year=2000
}

@inproceedings{MaH2008cikm,
	author="H. Ma and H. Yang and M. R. Lyu and I. King",
	title="{SoRec}: Social Recommendation Using Probabilistic Matrix Factorization",
	booktitle=cikm,
	address="Napa Valley, CA",
	year=2008
}

@inproceedings{MaH2009sigir,
	author="H. Ma and I. King and M. R. Lyu",
	title="Learning to Recommend with Social Trust Ensemble",
	booktitle=sigir,
	address="Boston, MA",
	year=2009
}

@inproceedings{MaH2011wsdm,
	author="H. Ma and D. Zhou and C. Liu and M. R. Lyu and I. King",
	title="Recommender Systems with Social Regularization",
	booktitle=wsdm,
	address="Hong Kong",
	year=2010
}

@article{MaS2011mpsA,
	author="S. Ma and D. Goldfard and L. Chen",
	title="Fixed Point and Bregman Iterative Methods for Matrix Rank Minimization",
	pages="321--353",
	journal="Mathematical Programming Series A",
	volume=128,
	number=1,
	year=2011
}


@article{MacKayDJC92neco,
	author="D. J. C. MacKay",
	title="Bayesian Interpolation",
	pages="415--447",
	journal=neco,
	volume=4,
	year=1992
}

@article{MacKayDJC92neco_a,
	author="D. J. C. MacKay",
	title="A Practical {Bayesian} Framework for Backpropagation Networks",
	pages="448--472",
	journal=neco,
	volume=4,
	year=1992
}

@article{MacKayDJC92neco_b,
	author="D. J. C. MacKay",
	title="The Evidence Framework Applied to Classification Networks",
	pages="720--736",
	journal=neco,
	volume=4,
	year=1992
}

@inproceedings{MacKayDJC94,
	author="D. J. C. MacKay",
	title="Bayesian Neural Networks and Density Networks",
	booktitle="Proceedings of Workshop on Neutron Scattering Data Analysis",
	year=1994
}

@techreport{MacKayDJC96,
	author="D. J. C. MacKay",
	title="Maximum Likelihood and Covariant Algorithms for Independent Component Analysis",
	number="Draft 3.7",
	institution="University of Cambridge, Cavendish Laboratory",
	year=1996
}

@inproceedings{MacKayDJC97,
	author="D. J. C. MacKay and M. N. Gibb",
	title="Density Networks",
	booktitle="Proceedings of Edinburgh Meeting",
	year=1997
}

@book{MacKayDJC2003book,
	author="D. J. C. MacKay",
	title="Information Theory, Inferecne, and Learning Algorithms",
	publisher="Cambridge University Press",
	year=2003
}

@article{MacskassySA2007jmlr,
	author="S. A. Macskassy and F. Provost",
	title="Classification in Networked Data: A Toolkit and a Univariate Case Study",
	pages="935--983",
	journal=jmlr,
	volume=8,
	year=2007
}

@article{MadsenL2011biometrics,
	author="L. Madsen and Y. Fang",
	title="Joint Regression Analysis for Discrete Longitudinal Data",
	journal="Biometrics",
	volume=67,
	number=3,
	year=2011
}

@inproceedings{MagdonIsmailM98nips,
	author="M. {Magdon-Ismail} and A. Atiya",
	title="Neural Networks for Density Estimation",
	booktitle=nips,
	volume=11,
	year=1999
}

@article{MagdonIsmailM2002ieeetnn,
	author="M. {Magdon-Ismail} and A. Atiya",
	title="Density Estimation and Random Variate Generation using Multilayer Networks",
	pages="497--520",
	journal=ieeetnn,
	volume=13,
	number=3,
	year=2002
}

@inproceedings{MahdavianiM2005icra,
	author="M. Mahdaviani and N. {de Freitas} and B. Fraser and F. Hamze",
	title="Fast Computational Methods for Visually Guided Robots",
	pages="138--143",
	booktitle=icra,
	year=2005
}

@article{MairalJ2010jmlr,
	author="J. Mairal and F. Bach and J. Ponce and G. Sapiro",
	title="Online Learning for Matrix Factorization and Sparse Coding",
	pages="19--60",
	journal=jmlr,
	volume=11,
	year=2010
}

@inproceedings{Makeig95nips,
	author="S. Makeig and A. Bell and T. -P. Jung and T. Sejnowski",
	title="Independent Component Analysis of Electroencephalographic Data",
	pages="141--151",
	booktitle=nips,
	volume=8,
	year=1996
}

@article{Makeig97pnas,
	author="S. Makeig and A. Bell and T. -P. Jung and T. Sejnowski",
	title="Blind Separation of Auditory Event-related Brain Responses into Independent Components",
	pages="10979--10984",
	journal="Proceedings of of National Academy of Sciences",
	volume=94,
	year=1997
}

@inproceedings{MakhzaniA2016iclr,
	author="A. Makhzani and J. Shlens and N. Jaitly and I. Goodfellow",
	title="Adversarial Autoencoders",
	booktitle=iclr,
	address="San Juan, Puerto Rico",
	year=2016
}

@article{MallatSG93ieeetsp,
	author="S. G. Mallat and Z. Zhang",
	title="Matching Pursuits With Time-Frequency Dictionaries",
	pages="3397--3415",
	journal=ieeetsp,
	volume=41,
	number=12,
	year=1993
}

@inproceedings{MankuGS2007www,
	author="G. S. Manku and A. Jain and A. D. Sarma",
	title="Detecting Near-Duplicates for Web Crawling",
	booktitle=www,
	address="Banff, Canada",
	year=2007
}


@inproceedings{MannGS2007icml,
	author="G. S. Mann and A. {McCallum}",
	title="Simple, Robust, Scalable Semi-Supervised Learning via Expectation Regularization",
	booktitle=icml,
	address="Corvallis, Oregon, USA",
	year=2007
}

@inproceedings{Mansour98fusion,
	author="A. Mansour and C. Jutten and N. Ohnishi",
	title="Kurtosis: Definition and Properties",
	pages="40--46",
	booktitle="Proceedings of FUSION'98",
	address="Las Vegas",
	year=1998
}

@article{MantonJH2003ieeetsp,
	author="J. H. Manton and R. Mahtony and Y. Hua",
	title="The Geometry of Weighted Low-Rank Approximations",
	pages="500--514",
	journal=ieeetsp,
	volume=51,
	number=2,
	year=2003
}

@article{MantrachA2010ieeetpami,
	author="A. Mantrach and L. Yen and J. Callut and K. Francoisse and M. Shimbo and M. Saerens",
	title="The Sum-over-Paths Covariance Kernel: A Novel Covariance Measure between Nodes of a Directed Graph",
	pages="338--361",
	journal=ieeetpami,
	volume=32,
	number=6,
	year=2010
}

@inproceedings{MaoY2004imc,
	author="Y. Mao and L. K. Saul",
	title="Modeling Distances in Large-Scale Networks by Matrix Factorization",
	booktitle="Proceedings of the ACM Internet Measurement Conference",
	address="Taormina, Sicily, Italy",
	year=2004
}

@misc{MarbacM2015arxiv,
	author="M. Marbac and C. Biernacki and V. Vandewalle",
	title="Model-Based Clustering of {Gaussian} Copulas for Mixed Data",
	note="{\em Preprint arXiv:1405.1299}",
	year=2015
}

@inproceedings{MarchW2007nipseml,
	author="W. March and A. Gray",
	title="Large-Scale Euclidean {MST} and Hierarchical Clustering",
	booktitle="Proceedings of the NIPS Workshop on Efficient Machine Learning",
	year=2007
}

@inproceedings{MargineantuDD2002ecml,
	author="D. D. Margineantu",
	title="Class Probability Estimation and Cost-sensitive Classification Decisions",
	pages="270--281",
	booktitle=ecml,
	year=2002
}

@inproceedings{MarlinBM2003nips,
	author="B. M. Marlin",
	title="Modeling User Rating Profiles For Collaborative Filtering",
	booktitle=nips,
	volume=16,
	year=2004
}

@inproceedings{MarlinBM2005aistats,
	author="B. M. Marlin and S. T. Roweis and R. S. Zemel",
	title="Unsupervised Learning with Non-Ignorable Missing Data",
	booktitle=aistats,
	address="Barbados",
	year=2005
}

@inproceedings{MarlinBM2007uai,
	author="B. M. Marlin and R. S. Zemel and S. T. Roweis and M. Slaney",
	title="Collaborative Filtering and the Missing at Random Assumption",
	booktitle=uai,
	address="Vancouver, Canada",
	year=2007
}

@phdthesis{MarlinBM2008phd,
	author="B. M. Marlin",
	title="Missing Data Problems in Machine Learning",
	school="University of Toronto",
	year=2008
}

@inproceedings{MarlinBM2009recsys,
	author="B. M. Marlin and R. S. Zemel",
	title="Collaborative Prediction and Ranking with Non-Random Missing Data",
	booktitle=recsys,
	address="New York, New York, USA",
	year=2009
}

@inproceedings{MarlinBM2011icml,
	author="B. M. Marlin and M. E. Khan and K. P. Murphy",
	title="Piecewise Bounds for Estimating {Bernoulli}-Logistic Latent {Gaussian} Models",
	booktitle=icml,
	address="Bellevue, WA, USA",
	year=2011
}

@inproceedings{MaronO97nips,
	author="O. Maron and T. {Lozano-P\'erez}",
	title="A Framework for Multiple-Instance Learning",
	booktitle=nips,
	volume=10,
	publisher="MIT Press",
	year=1998
}

@inproceedings{MartinKD98,
	author="K. D. Martin and Y. E. Kim",
	title="Musical Instrument Identification: A Pattern-Recognition Approach",
	booktitle="Proceedings of 136th Meeting of the Acoustical Society of America",
	year=1998
}

@techreport{Martinez98,
	author="A. Martinez and R. Benavente",
	title="The {AR} Face Database",
	number="{CVC} {\#}24",
	institution="Computer Vision Center, Purdue University",
	month="June",
	year=1998
}

@inproceedings{MassaP2007recsys,
	author="P. Massa and P. Avesani",
	title="Trust-Aware Recommender Systems",
	booktitle=recsys,
	address="Mineapolis, MN",
	year=2007
}

@article{Massey68ieeetc,
	author="J. Massey and M. Sain",
	title="Inverses of Linear Sequential Circuits",
	pages="330--337",
	journal=ieeetc,
	volume=17,
	year=1968
}

@article{Matsuoka95nn,
	author="K. Matsuoka and M. Ohya and M. Kawamoto",
	title="A Neural Net for Blind Separation of Nonstationary Signals",
	pages="411--419",
	journal=nn,
	volume=8,
	number=3,
	year=1995
}

@inproceedings{MaurerA2006colt,
	author="A. Maurer",
	title="The {Rademacher} Complexity of Linear Transformation Classes",
	pages="65--78",
	booktitle=colt,
	year=2006
}

@article{MaurerA2006jmlr,
	author="A. Maurer",
	title="Bounds for Linear Multi-Task Learning",
	pages="117--139",
	journal=jmlr,
	volume=7,
	year=2006
}

@misc{McCallumA96bow,
	author="A. McCallum",
	title="Bow: A Toolkit for Statistical Language Modeling, Text Retrieval, Classification and Clustering",
	url="http://www-2.cs.cmu.edu/~mccallum/bow",
	institution="University of Massachusetts Amherst, Dept. of Computer Sciences",
	year=1996
}

@inproceedings{McCallumAK99aaai,
	author="A. McCallum",
	title="Multi-Label Text Classification with a Mixture Model Trained by {EM}",
	booktitle="Proceedings of the AAAI-1999 Workshop on Text Learning",
	year=1999
}

@incollection{McDiarmidC89sc,
	author="C. McDiarmid",
	title="On the Method of Bounded Differences",
	pages="148--188",
	editor="J. Siemons",
	booktitle="Surveys in Combinatorics",
	publisher="Combridge University Press",
	year=1989
}

@article{McKeown98hbm,
	author="M. J. Mckeown and T. J. Sejnowski",
	title="Independent Component Analysis of {fMRI} Data: Examining the Assumptions",
	pages="368--372",
	journal="Human Brain Mapping",
	volume=6,
	year=1998
}

@inproceedings{McQueenJB67,
	author="J. B. McQueen",
	title="Some Methods of Classification and Analysis of Multivariate Observations",
	pages="281--297",
	booktitle="Proceedings of Fifth Berkeley Symposium on Mathematical Statistics and Probability",
	year=1967
}

@inproceedings{MeiQ2007www,
	author="Q. Mei and X. Ling and M. Wondra and H. Su and C. Zhai",
	title="Topic Sentiment Mixture: Modeling Facets and Opinions in Weblogs",
	booktitle=www,
	address="Banff, Alberta, Canada",
	year=2007
}

@inproceedings{MeilaM2001aistats,
	author="M. Meila and J. Shi",
	title="A Random Walks View of Spectral Segmentation",
	booktitle=aistats,
	address="Key West, FL",
	year=2001
}

@inproceedings{MelvilleP2002aaai,
	author="P. Melville and R. J. Mooney and R. Nagarajan",
	title="Content-Boosted Collaborative Filtering for Improved Recommendations",
	pages="187--192",
	booktitle=aaai,
	address="Edmonton, Canada",
	year=2002
}

@inproceedings{MenciaEL2008ecmlpkdd,
	author="E. L. Menc{\'{i}}a and J. F{\"{u}}rnkranz",
	title="Efficient Multilabel Classification Algorithms for Large-Scale Problems in the Legal Domain",
	booktitle=ecmlpkdd,
	year=2008
}

@article{MendelsonS2006jmlr,
	author="S. Mendelson",
	title="Bounds for Linear Multi-Task Learning",
	pages="117--139",
	journal=jmlr,
	volume=7,
	year=2006
}

@inproceedings{MerweR2000nips,
	author="R. van der Merwe and A Doucet and N. {de Freitas} and E. Wan",
	title="The Unscented Particle Filter",
	booktitle=nips,
	volume=13,
	year=2001
}

@inproceedings{MesserK99avbpa,
	author="K. Messer and J. Matas and J. Kittler and J. Luettin and G. Maitre",
	title="{XM2VTSDB}: The Extended {M2VTS} Database",
	pages="965--966",
	booktitle="Proceedings of the Second International Conference on Audio and Video-Based Biometric Person Authentification",
	year=1999
}

@article{MeyerC2013cstm,
	author="C. Meyer",
	title="The Bivariate Normal Copula",
	pages="2402--2422",
	journal="Communications in Statistics - Theory and Methods",
	volume=42,
	number=13,
	year=2013
}

@book{MichalskiRS94book,
	author="R. S. Michalski and G. Tecuci",
	title="Machine Learning: A Multistrategy Approach",
	publisher="Morgan Kaufmann",
	address="San Francisco, CA",
	year=1994
}

@inproceedings{MierswaI2006kdd,
	author="I. Mierswa and M. Wurst and R. Klinkenberg and M. Scholz and T. Euler",
	title="{YALE:} Rapid Prototyping for Complex Data Mining Tasks",
	booktitle=kdd,
	address="Philadelphia, PA",
	year=2006
}

@inproceedings{MikaS98nips,
	author="S. Mika and B. {Sch\"olkopf} and A. Smola and K.{-R.} {M\"uller} and M. Scholz and G. {R\"atsch}",
	title="Kernel {PCA} and De-Noising in Feature Spaces",
	pages="705--712",
	booktitle=nips,
	volume=11,
	year=1999
}

@inproceedings{MikaS99nnsp,
	author="S. Mika and G. R{\"a}tsch and J. Weston and B. Sch{\"o}lkopf and K.-R. M{\"u}ller",
	title="{Fisher} Discriminant Analysis with Kernels",
	pages="41--48",
	booktitle=nnsp,
	address="Madison, WI, USA",
	year=1999
}

@inproceedings{MikaS2000nips,
	author="S. Mika and G. R{\"a}tsch and K.-R. M{\"u}ller",
	title="A Mathematical Programming Approach to the Kernel {Fisher} Algorithm",
	booktitle=nips,
	volume=13,
	year=2001
}

@inproceedings{MikaS2001aistats,
	author="S. Mika and A. Smola and B. Sch{\"o}lkopf",
	title="An Improved Training Algorithm for Kernel {Fisher} Discriminants",
	booktitle=aistats,
	address="Key West, FL, USA",
	year=2001
}

@inproceedings{Millan2004ijcnn,
	author="{J. del R. Mill\'an}",
	title="On the Need for On-line Learning in Brain-Computer Interfaces",
	booktitle=ijcnn,
	address="Budapest, Hungary",
	year=2004
}

@inproceedings{MimnoD2008uai,
	author="D. Mimno and A. McCallum",
	title="Topic Models Conditioned on Arbitrary Features with {Dirichlet-Multinomial} Regression",
	booktitle=uai,
	address="Helsinki, Finland",
	year=2008
}

@article{MineoAM2005jss,
	author="A. M. Mineo and M. Ruggieri",
	title="A Software Tool for the Exponential Power Distribution: The Normalp Package",
	journal="Journal of Statistical Software",
	volume=12,
	year=2005
}

@techreport{MinkaT2000tr,
	author="T. Minka",
	title="Estimating a {Dirichlet} Distribution",
	institution="Microsoft Research",
	year=2000
}

@inproceedings{MinkaT2001uai,
	author="T. Minka",
	title="Expectation Propagation for Approximate Bayesian Inference",
	pages="362--369",
	booktitle=uai,
	year=2001
}

@techreport{MinkaT2005tr,
	author="T. Minka",
	title="Divergence Measures and Message Passing",
	number="MSR-TR-2005-173",
	institution="Microsoft Research",
	year=2005
}

@incollection{MiskinJW2000,
	author="H. Lappalainen and J. W. Miskin",
	title="Ensemble Learning",
	pages="75--92",
	editor="M. Girolami",
	booktitle="Advances in Independent Component Analysis",
	publisher="Springer",
	year=2000
}

@incollection{MiskinJW2001,
	author="J. W. Miskin and D. J. C. MacKay",
	title="Ensemble Learning for Blind Source Separation",
	pages="209--233",
	editor="S. Roberts and R. Everson",
	booktitle="Independent Component Analysis: Principles and Practice",
	publisher="Cambridge University Press",
	year=2001
}

@inproceedings{MissaouiR2007dolap,
	author="R. Missaoui and C. Goutte and A. K. Choupo and A. Boujenoui",
	title="A Probabilistic Model for Data Cube Compression and Query Approximation",
	booktitle="Proceedings of the ACM International Workshop on Data Warehousing and OLAP (DOLAP)",
	address="Lisbon, Portugal",
	year=2007
}

@article{Mitianoudis2003ieeetsap,
	author="N. Mitianoudis and M. E. Davies",
	title="Audio Source Separation of Convolutive Mixtures",
	pages="489--497",
	journal=ieeetsap,
	volume=11,
	number=5,
	year=2003
}

@inproceedings{MoZ2004bmvc,
	author="Z. Mo and J. P. Lewis and U. Neumann",
	title="Face Inpainting with Local Linear Representation",
	pages="347--356",
	booktitle=bmvc,
	year=2004
}

@article{MockusJ1978tgo,
	author="J. Mo\v{c}kus and V. Tiesis and A. \v{Z}ilinskas",
	title="The Application of {Bayesian} Methods for Seeking the Extremum",
	pages="117--129",
	journal="Towards Global Optimization",
	volume=2,
	year=1978
}

@inproceedings{MockusJ1975ottc,
	title="On {Bayesian} methods for seeking the extremum",
	author="J. Mo\v{c}kus",
	booktitle="Optimization Techniques IFIP Technical Conference",
	pages="400--404",
	year=1975,
	address="Novosibirsk, Russia"
}

@inproceedings{Moghaddam98nips,
	author="B. Moghaddam and T. Jebara and A. Pentland",
	title="Bayesian Modeling of Facial Similarity",
	pages="910--916",
	booktitle=nips,
	volume=11,
	year=1999
}

@inproceedings{Moghaddam98icafgr,
	author="B. Moghaddam and A. Wahid and A. Pentland",
	title="Beyond Eigenfaces: Prababilistic Matching for Face Recognition",
	pages="30--35",
	booktitle="Proceedings of of International Conference on on Automatic Face and Gesture Recognition",
	address="Nara, Japan",
	year=1998
}

@article{Moghaddam97ieeetpami,
	author="B. Moghaddam and A. Pentland",
	title="Probabilistic Visual Learning for Object Representation",
	pages="696--710",
	journal=pami,
	volume=19,
	number=7,
	month="July",
	year=1997
}

@inproceedings{MoghaddamB95iccv,
	author="B. Moghaddam and A. Pentland",
	title="Probabilistic Visual Learning for Object Detection",
	booktitle="iccv",
	year=1995
}

@inproceedings{MoghaddamB2006icml,
	author="B. Moghaddam and Y. Weiss and S. Avidan",
	title="Generalized Spectral Bounds for Sparse {LDA}",
	pages="641--648",
	booktitle=icml,
	address="Pittsburgh, PA, USA",
	year=2006
}

@inproceedings{MobahiH2009icml,
	author="H. Mobahi and R. Collobert and J. Weston",
	title="Deep Learning from Temporal Coherence in Video",
	booktitle=icml,
	address="Montreal, Canada",
	year=2009
}

@inproceedings{MohamedS2008nips,
	author="S. Mohamed and K. Heller and Z. Ghahramani",
	title="Bayesian Exponential Family {PCA}",
	booktitle=nips,
	volume=21,
	year=2009
}

@incollection{MoharB93ima,
	author="B. Mohar and S. Poljak",
	title="Eigenvalues in Combinatorial Optimization",
	editor="S. Friedland, and V. Klee",
	booktitle="Combinatorial Graph-Theoretical Problems in Linear Algebra, IMA",
	publisher="Springer",
	pages="107--151",
	volume=50,
	year=1993
}

@article{Molgedey94prl,
	author="L. Molgedey and H. G. Schuster",
	title="Separation of a Mixture of Independent Signals Using Time Delayed Correlations",
	pages="3634--3637",
	journal=phrl,
	year=1994
}

@inproceedings{MonayF2003acmmm,
	author="F. Monay and D. {Gatica-Perez}",
	title="On Image Auto-Annotation with Latent Space Models",
	booktitle=acmmm,
	address="Berkeley, CA, USA",
	year=2003
}

@inproceedings{MonayF2004acmmm,
	author="F. Monary and D. {Gatica-Perez}",
	title="{PLSA}-Based Image Auto-Annotation: Constraining the Latent Space",
	booktitle=acmmm,
	address="New York, New York, USA",
	year=2004
}

@article{MontanoA2006ieeetpami,
	author="A. Pascual-Montano and J.M. Carazo and K. Kochi and D. Lehmann and R. D. Pascual-Marqui",
	title="Nonsmooth Nonnegative Matrix Factorization {(nsNMF)}",
	journal=ieeetpami,
	pages="403--415",
	volume=28,
	number=3,
	year=2006
}

@article{MorganRB91laia,
	author="R. B. Morgan",
	title="Computing Interior Eigenvalues of Large Matrices",
	pages="289--309",
	journal="Linear Algebra and its Applications",
	volume="154-156",
	year=1991
}

@article{MorrisonA2003iv,
	author="A. Morrison and G. Ross and M. Chalmers",
	title="Fast Multidimensional Scaling through Sampling, Springs and Interpolation",
	pages="68--77",
	journal="Information Visualization",
	volume=2,
	number=1,
	year=2003
}

@article{MorupM2006ni,
	author="M. M{\o}rup and L. K. Hansen and C. S. Herrmann and J. Parnas and S. M. Arnfred",
	title="Parallel Factor Analysis as an Exploratory Tool for Wavelet Transformed Event-Related {EEG}",
	pages="938--947",
	journal="NeuroImage",
	volume=29,
	year=2006
}

@techreport{MorupM2006tr,
	author="M. M{\o}rup and L. K. Hansen and S. M. Arnfred",
	title="Sparse Higher Order Non-Negative Matrix Factorization",
	institution="Technical University of Denmark",
	note="http://www.mortenmorup.dk",
	year=2006
}

@manual{Mosek2010,
	author="MOSEK ApS",
	title="The {MOSEK} Optimization Tools Version 6.0, {User's} Manual and Reference",
	note="Availabe from http://www.mosek.com",
	year=2010
}

@article{Moulines95ieeetsp,
	author="E. Moulines and P. Duhamel and J.-F. Cardoso and S. Mayrargue",
	title="Subspace Methods for the Blind Identification of Multipath Channel {FIR} Filters",
	pages="516--525",
	volume=43,
	journal=ieeetsp,
	year=1995
}

@inproceedings{Moulines97icassp,
	author="E. Moulines and J.-F. Cardoso and E. Gassiat",
	title="Maximum Likelihood for Blind Separation and Deconvolution of Noisy Signals Using Mixture Models",
	pages="3617--3620",
	booktitle=icassp,
	address="Munich, Germany",
	year=1997
}

@article{MoussaouiS2006ieeetsp,
	author="S. Moussaoui and D. Brie and A. {Mohammad-Djafari} and C. Carteret",
	title="Separation of Non-Negative Mixture of Non-Negative Sources using a {Bayesian} Approach and {MCMC} Sampling",
	pages="4133--4145",
	journal=ieeetsp,
	volume=54,
	number=11,
	year=2006
}

@inproceedings{MuY2010cvpr,
	author="Y. Mu and J. Shen and S. Yan",
	title="Weakly-Supervised Hashing in Kernel Space",
	booktitle=cvpr,
	address="San Francisco, CA",
	year=2010
}

@inproceedings{MuellerJ2016aaai,
	author="J. Mueller and A. Thyagarajan",
	title="Siamese Recurrent Architectures for Learning Sentence Simiarity",
	booktitle=aaai,
	address="Phoenix, Arizona, USA",
	pages={2786--2792},
	year=2016
}

@inproceedings{MujaM2009visapp,
	author="M. Muja and D. G. Lowe",
	title="Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration",
	booktitle="Proceedings of the International Conference on Computer Vision Theory and Applications",
	year=2009
}

@inproceedings{Muller99ica,
	author="K.-R. M{\"u}ller and P. Philips and A. Ziehe",
	title="{$\mbox{JADE}_{TD}$}: Combining Higher-order Statistics and Temporal Information for Blind Source Separation (with Noise)",
	pages="87--92",
	booktitle=ica99,
	address="Aussois, France",
	year=1999
}

@article{Muller-GerkingJ99cn,
	author="J. {M\"uller-Gerking} and G. Pfurtscheller and H. Flyvbjerg",
	title="Designing Optimal Spatial Filters for Single-Trial {EEG} Classification in a Movement Task",
	pages="787--798",
	journal=cn,
	volume=110,
	issue=5,
	year=1999
}

@article{Muller-HannemannM2000jea,
	author="M. {M\"uller-Hannemann} and A. Schwartz",
	title="Implementing Weighted B-Matching Algorithms: Insights from a Computational Study",
	journal="ACM Journal of Experimental Algorithmics",
	volume=5,
	year=2000
}

@techreport{Murata98tr,
	author="N. Murata and S. Ikeda and A. Ziehe",
	title="An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals",
	number="{BSIS}-98-2",
	institution="BSI, RIKEN",
	month="Apr.",
	year=1998
}

@article{Murata2001neucom,
	author="N. Murata and S. Ikeda and A. Ziehe",
	title="An Approach to Blind Source Separation Based on Temporal Structure of Speech Signals",
	journal="Neurocomputing",
	pages="1--24",
	volume=41,
	year=2001
}

@misc{MurphyK98hmm,
	author="K. Murphy",
	title="Hidden {Markov} Model ({HMM}) Toolbox for {Matlab}",
	note="available at http://www. ai. mit. edu/\~{} murphyk/Software/HMM/hmm. html",
	year=1998
}

@article{MurrayJS2013jasa,
	author="J. S. Murray and D. B. Dunson and L. Carin and J. E. Lucas",
	title="{Bayesian} {Gaussian} Copula Factor Models for Mixed Data",
	pages="656--665",
	journal=jasa,
	volume=108,
	number=502,
	year=2013
}

@inproceedings{MutschlerC2013debs,
	author="C. Mutschler and H. Ziekow and Z. Jerzak",
	title="The {DEBS} 2013 Grand Challenge",
	booktitle="Proceedings of The 7th ACM International Conference on Distributed Event-Based Systems (DEBS)",
	address="Arlington, Texas, USA",
	year=2013
}

@article{Nadal94network,
	author="J. -P. Nadal and N. Parga",
	title="Nonlinear Neurons in the Low-Noise Limit: A Factorial Code Maximize Information Transfer",
	pages="565--581",
	journal=network,
	volume=5 ,
	year=1994
}

@article{Nadal97nc,
	author="J. -P. Nadal and N. Parga",
	title="Redundancy Reduction and Independent Component Analysis: Conditions on Cumulants and Adaptive Approaches",
	pages="1421--1456",
	journal=nc,
	volume=9 ,
	year=1997
}

@article{NadlerB2006acha,
	author="B. Nadler and S. Lafon and R. R. Coifman and I. G. Kevrekidis",
	title="Diffusion Maps, Spectral Clustering and Reaction Coordinates of Dynamical Systems",
	pages="113--127",
	journal="Applied and Computational Harmonic Analysis",
	volume=21,
	year=2006
}

@inproceedings{NairV2010icml,
	author="V. Nair and G. E. Hinton",
	title="Rectified Linear Units Improve Restricted {Boltzmann} Machines",
	booktitle=icml,
	address="Haifa, Israel",
	year=2010
}

@inproceedings{Najar94icassp,
	author="M. N{/'a}jar and M. A. Lagunas and I. Bonet",
	title="Blind Wideband Source Separation",
	pages="65--68",
	booktitle=icassp,
	year=1994
}

@inproceedings{NakajimaS2010icml,
	author="S. Nakajima and M. Sugiyama",
	title="Implicit Regularization in Variational {Bayesian} Matrix Factorization",
	booktitle=icml,
	address=venue-icml-2010,
	year=2010
}

@inproceedings{NakajimaS2011nips,
	author="S. Nakajima and M. Sugiyama and D. Babacan",
	title="Global Solution of Fully-Observed Variational Bayesian Matrix Factorization Is Column-Wise Independent",
	booktitle=nips,
	volume=24,
	year=2011
}

@inproceedings{NakamuraA98icml,
	author="A. Nakamura and N. Abe",
	title="Collaborative Filtering using Weighted Majority Prediction Algorithms",
	booktitle=icml,
	year=1998
}

@techreport{NealRM93,
	author="R. M. Neal",
	title="Probabilistic Inference Using {Markov} Chain {Monte Carlo} Methods",
	number="CRG-TR-93-1",
	institution="Dept. of Computer Science, University of Toronto",
	year=1993
}

@article{NealRM2003aos,
	author="R. M. Neal",
	title="Slice Sampling",
	pages="705--767",
	journal="The Annals of Statistics",
	volume=31,
	number=3,
	year=2003
}

@book{NealRM96book,
	author="R. M. Neal",
	title="Bayesian Learning for Neural Networks",
	publisher="Springer",
	year=1996
}

@article{NealRM97nc,
	author="R. M. Neal and P. Dayan",
	title="Factor Analysis Using Delta-Rule Wake-Sleep Learning",
	pages="1781--1803",
	journal=nc,
	volume=9,
	year=1997
}

@incollection{NealRM98,
	author="R. M. Neal and G. E. Hinton",
	title="A Veiw of the {EM} Algorithm that Justifies Incremental, Sparse, and Other Variants",
	pages="355--368",
	editor="M. I. Jordan",
	booktitle="Learning in Graphical Models",
	publisher="Kluwer Academic Publishers",
	year=1998
}

@article{NealRM2000jcgs,
	author="R. M. Neal",
	title="{Markov} Chain Sampling Methods for {Dirichlet} Process Mixture Models",
	pages="249--265",
	journal="Journal of Computational and Graphical Statistics",
	volume=9,
	number=2,
	year=2000
}

@article{NeedellD2008acha,
	author="D. Needell and J. A. Tropp",
	title="{CoSaMP}: Iterative Signal Recovery from Incomplete and Inaccurate Samples",
	pages="301--321",
	journal="Applied and Computational Harmonic Analysis",
	volume=26,
	number=3,
	year=2008
}

@article{NelderJ72jrssa,
	author="J. Nelder and W. M. Wedderburn",
	title="Generalized Linear Models",
	pages="370--384",
	journal=jrssa,
	volume=135,
	year=1972
}

@book{NelsenRB2006book,
	author="R. B. Nelsen",
	title="An Introduction to Copulas",
	edition=2,
	publisher="Springer",
	year=2006
}

@techreport{NeneSA96tr,
	author="S. A. Nene and S. K. Nayar and H. Murase",
	title="Columbia Object Image Library {(COIL-100)}",
	number="CUCS-006-96",
	institution="Columbia University",
	year=1996
}

@book{NesterovY2004book,
	author="Y. Nesterov",
	title="Introductory Lectures on Convex Optimization: A Basic Course",
	publisher="Kluwer Academic Publishers",
	year=2004
}

@article{NesterovY2005mp,
	author="Y. Nesterov",
	title="Smooth Minimization of Non-Smooth Functions",
	pages="127--152",
	journal="Mathematical Programming, Series A",
	volume=103,
	year=2005
}

@article{NesterovY2007mp,
	author="Y. Nesterov",
	title="Smoothing Technique and its Applications in Semidefinite Optimization",
	pages="245--259",
	journal="Mathematical Programming, Series A",
	volume=110,
	year=2007
}

@article{Nevill97jair,
	author="C. G. Nevill-Manning and I. H. Witten",
	title="Identifying Hierarchical Structure in Sequences: A Linear-Time Algorithm",
	pages="67--82",
	journal="Journal of Artificial Intelligence Research",
	year=1997
}

@article{NewmanMEJ2004prE,
	author="M. E. J. Newman and M. Girvan",
	title="Finding and Evaluating Community Structure in Networks",
	journal="Physical Review E",
	volume=69,
	year=2004
}

@article{NewmanMEJ2006prE,
	author="M. E. J. Newman",
	title="Finding Community Structure in Networks using the Eigenvectors of Matrices",
	journal="Physical Review E",
	volume=74,
	year=2006
}

@article{NewmanMEJ2011nature,
	author="M. E. J. Newman",
	title="Communities, Modules and Large-Scale Structure in Networks",
	pages="25--31",
	journal="Nature Physics",
	volume=8,
	number=1,
	year=2011
}

@article{NewmanMEJ2006pnas,
	author="M. E. J. Newman",
	title="Modularity and Community Structure in Networks",
	pages="8577--8582",
	journal=pnas,
	volume=103,
	number=23,
	year=2006
}

@inproceedings{NgAY2001nips,
	author="A. Y. Ng and M. I. Jordan and Y. Weiss",
	title="On Spectral Clustering: Analaysis and an Algorithm",
	booktitle=nips,
	volume=14,
	year=2002
}

@inproceedings{NgiamJ2011icml,
	author="J. Ngiam and A. Khosla and M. Kim and J. Nam and H. Lee and A. Y. Ng",
	title="Multimodal Deep Learning",
	booktitle=icml,
	address="Bellevue, WA",
	year=2011
}

@inproceedings{NgiamJ2011nips,
	author="J. Ngiam and P. W. Koh and Z. Chen and S. Bhaskar and A. Y. Ng",
	title="Sparse Filtering",
	booktitle=nips,
	volume=24,
	year=2011
}

@article{NikoloulopoulosAK2013jspi,
	author="A. K. Nikoloulopoulos",
	title="On the Estimation of Normal Copula Discrete Regression Models using the Continuous Extension and Simulated Likelihood",
	pages="1923--1937",
	journal="Journal of Statistical Planning and Inference",
	volume=143,
	number=11,
	year=2013
}

@inproceedings{NisterD2006cvpr,
	author="D. Nist{\'e}r and H. Stew{\'e}nius",
	title="Scalable Recognition with a Vocabulary Tree",
	booktitle=cvpr,
	address="New York, NY, USA",
	year=2006
}

@inproceedings{NilssonJ2007icml,
	author="J. Nilsson and F. Sha and M. I. Jordan",
	title="Regression on Manifolds Using Kernel Dimension Reduction",
	booktitle=icml,
	address="Corvallis, Oregon",
	year=2007
}

@article{NishimoriY2005neucom,
	author="Y. Nishimori and S. Akaho",
	title="Learning Algorithms Utilizing Quasi-Geodesic Flows on the {Stiefel} Manifold",
	journal=neucom,
	volume=67,
	pages="106--135",
	year=2005
}

@article{NocedalJ80mc,
	author="J. Nocedal",
	title="Updating Quasi-{Newton} Matrices with Limited Storage",
	pages="773--782",
	journal="Mathematics of Computation",
	volume=35,
	number=151,
	year=1980
}

@book{NocedalJ99,
	author="J. Nocedal and S. J. Wright",
	title="Numerical Optimization",
	publisher="Springer",
	year=1999
}

@inproceedings{NorouziM2011icml,
	author="M. Norouzi and D. J. Fleet",
	title="Minimal Loss Hashing for Compact Binary Codes",
	booktitle=icml,
	address="Bellevue, WA",
	year=2011
}

@article{NowickiK2001jasa,
	author="K. Nowicki and T. A. B. Snijders",
	title="Estimation and Prediction for Stochastic Blockstructures",
	pages="1077--1087",
	journal=jasa,
	volume=96,
	number=455,
	year=2001
}

@article{Obermaier2001prl,
	author="B. Obermaier and C. Guger and C. Neuper and G. Pfurtscheller",
	title="Hidden Markov Models for Online Classification of Single Trial {EEG} Data",
	pages="1299--1309",
	journal="Pattern Recongnition Letters",
	volume=22,
	year=2001
}

@inproceedings{Obradovic97nnsp,
	author="D. Obradovic and G. Deco",
	title="Blind Source Separation: Are Information Maximization and Redundancy Reduction Different?",
	pages="416--425",
	booktitle=nnsp7,
	editor="J. Principe and  L. Gile and  N. Morgan and E. Wilson",
	publisher="IEEE",
	year=1997
}

@inproceedings{OrbanzP2006eccv,
	author="P. Orbanz and J. M. Buhmann",
	title="Smooth Image Segmentation by Nonparametric {Bayesian} Inference",
	booktitle=eccv,
	address="Graz, Austria",
	year=2006
}

@inproceedings{OrbanzP2007emmcvpr,
	author="P. Orbanz and S. Braendle and J. M. Buhmann",
	title="{Bayesian} Order-Adaptive Clustering for Video Segmentation",
	booktitle="Proceedings of the 6th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR)",
	year=2007
}

@inproceedings{OGradyPD2006mlsp,
	author="P. D. {O'Grady} and B. A. Pearlmutter",
	title="Convolutive Non-Negative Matrix Factorisation with Sparseness Constraint",
	booktitle=mlsp,
	address="Maynooth, Ireland",
	year=2006
}

@inproceedings{OGrady2008imamsp,
	author="P. D. {O'Grady} and S. T. Rickard",
	title="Non-Negative Matrix Factorisation of Compressibely Sampled Non-Negative Signals",
	booktitle="Proceedings of the 8th IMA International Conference on Mathematics in Signal Processing",
	address="Cirencester, UK",
	year=2008
}

@inproceedings{OhSH2000iconip,
	author="S. {-H}. Oh and A. Cichocki and S. Choi and S. Amari and S. {-Y}. Lee",
	title="Comparison of {ICA/BSS} Algorithms for Noisy Data",
	booktitle="Proceedings of ICONIP",
	year=2000
}

@inproceedings{OhJH97nips,
	author="J. {-H}. Oh and H. S. Seung",
	title="Learning Generative Models with the Up-Propagation Algorithm",
	pages="605--611",
	booktitle=nips,
	year=1997
}

@article{Oja82jmb,
	author="E. Oja",
	title="A Simplified Neuron Model as a Principal Component Analyzer",
	pages="267--273",
	journal="J. Mathematical Biogology",
	volume=15,
	year=1982
}

@book{Oja83,
	author="E. Oja",
	title="Subspace Methods for Pattern Recognition",
	publisher="Research Studies Press",
	address="Letchworth, Hertfordshire, England",
	year=1983
}

@article{Oja85jmaa,
	author="E. Oja and J. Karhunen",
	title="On Stochastic Approximation of the Eigenvectors and Engenvalues of the Expectation of a Random Matrix",
	pages="69--84",
	journal="J. Math. Anal. Appl.",
	volume=106,
	year=1985
}

@article{Oja89ijns,
	author="E. Oja",
	title="Neural Networks, Principal Component Analysis, and Subspaces",
	pages="61-68",
	journal=ijns,
	volume=1 ,
	year=1989
}

@article{Oja92nn,
	author="E. Oja",
	title="Principal Components, Minor Components, and Linear Networks",
	pages="927--935",
	journal=nn,
	volume=5,
	number=6,
	year=1992
}

@techreport{Oja95,
	author="E. Oja",
	title="The Nonlinear {PCA} Learning Rule and Signal Separation - Mathematical Analysis",
	number="{A}26",
	institution="Helsinki University of Technology, Laboratory of Computer and Information Science",
	year=1995
}

@article{OjalaT2002ieeetpami,
	author="T. Ojala and M. Pietikainen and T. Maenpaa",
	title="Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns",
	pages="971--987",
	journal=ieeetpami,
	volume=24,
	number=7,
	year=2002
}

@inproceedings{Okuno97ijcai,
	author="H. G. Okuno and T. Nakatani and T. Kawabata",
	title="Challenge Problem: Understanding Three Simultaneous Speakers",
	pages="30--35",
	booktitle="Proceedings of International Joint Conference on Articial Intelligence",
	year=1997
}

@article{OlivaA2001ijcv,
	author="A. Oliva and A. Torralba",
	title="Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope",
	pages="145--175",
	journal=ijcv,
	volume=42,
	number=3,
	year=2001
}

@article{OlshausenBA96nature,
	author="B. A. Olshausen and D. J. Field",
	title="Emergence of Simple-cell Receptive Field Properties by Learning a Sparse Code for Natural Images",
	pages="607--609",
	journal=nature,
	volume=381,
	year=1996
}

@article{OlshausenBA96network,
	author="B. A. Olshausen and D. J. Field",
	title="Natural Image Statistics and Efficient Coding",
	pages="333-339",
	journal=network,
	volume=7,
	year=1996
}

@article{OlshausenBA97vr,
	author="B. A. Olshausen and D. J. Field",
	title="Sparse Coding with an Overcomplete Basis Set: A Strategy Employed by {V1}",
	pages="3311--3325",
	journal=vr,
	volume=37,
	year=1997
}

@inproceedings{ORL,
	author="F. Samaria and A. Harter",
	title="Parameterisation of a Stochastic Model for Human Face Identification",
	booktitle="Proceedings of the 2nd IEEE Workshop on Applications of Computer Vision",
	address="Sarasota, FL",
	year=1994
}

@book{ORuanaidh96,
	author="J. J. K. \'{O} Ruanaidh and W. J. Fitzgerald",
	title="Numerical Bayesian Methods Applied to Signal Processing",
	publisher="Springer",
	year=1996
}

@article{OToole93josaa,
	author="A. J. O'Toole and H. Abdi and K. A. Deffenbacher and D. Valentin",
	title="Low-dimensional Representation of Faces in Higher Dimensions of the Face Space",
	pages="405--411",
	journal=josaa,
	volume=10,
	number=3,
	year=1993
}

@inproceedings{OuyangH2012icml,
	author="H. Ouyang and A Gray",
	title="Stochastic Smoothing for Nonsmooth Minimizations: Accelerating {SGD} by Exploiting Structure",
	booktitle=icml,
	address="Edinburgh, Scotland, UK",
	year=2012
}

@misc{OzairS2014arxiv,
	author="S. Ozair and Y. Bengio",
	title="Deep Directed Generative Autoencoders",
	note="{\em Preprint arXiv:1410.0630}",
	year=2014
}

@article{Paatero94environ,
	author="P. Paatero and U. Tapper",
	title="Positive Matrix Factorization: A Non-Negative Factor Model with Optimal Utilization of Error Estimates of Data Values",
	pages="111--126",
	journal="Environmetrics",
	volume=5,
	year=1994
}

@article{Paatero97chemils,
	author="P. Paatero and U. Tapper",
	title="Least Squares Formulation of Robust Non-Negative Factor Analysis",
	pages="23--35",
	journal="Chemometrics Intelligent Laboratory Systems",
	volume=37,
	year=1997
}

@article{Pai97ieeespl,
	author="H.-T. Pai and A. C. Bovik",
	title="Exact Multichannel Blind Image Restoration",
	pages="217--220",
	journal=ieeespl,
	volume=4,
	number=8,
	month="Aug.",
	year=1997
}

@inproceedings{PaisleyJ2011aistats,
	author="J. Paisley and C. Wang and D. Blei",
	title="The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling",
	booktitle=aistats,
	address="Fort Lauderdale, FL, USA",
	year=2011
}

@article{Pajunen98ijns,
	author="P. Pajunen and J. Karhunen",
	title="Least-Squares Methods for Blind Source Separation Based on Nonlinear {PCA}",
	pages="601--612",
	journal=ijns,
	volume=8,
	year=1998
}

@inproceedings{PaliwalKK87icassp,
	author="K. K. Paliwal and A. Basu",
	title="A Speech Enhancement Method Based on {Kalman} Filtering",
	pages="177--180",
	booktitle=icassp,
	year=1987
}

@article{Palmieri93ieeetnn,
	author="F. Palmieri and J. Zhu and C. Chang",
	title="{Anti-Hebbian} Learning in Topologically Constrained Linear Networks: A Tutorial",
	pages="748--761",
	journal=ieeetnn,
	volume=5,
	number=4,
	year=1993
}

@inproceedings{PanJY2004kdd,
	author="J.-Y. Pan and H.-J. Yang and C. Faloutsos and P. Duygulu",
	title="Automatic Multimedia Cross-modal Correlation Discovery",
	booktitle=kdd,
	address="Seattle, WA, USA",
	year=2004
}

@article{Papadias97ieeespl,
	author="C. B. Papadias and A. J. Paulraj",
	title="A Constant Modulus Algorithm for Multiuser Signal Separation in the Presence of Delay Spread Using Antenna Arrays",
	pages="178--181",
	journal=ieeespl,
	volume=4 ,
	number=6,
	year=1997
}

@inproceedings{ParisS2007cvpr,
	author="S. Paris and F. Durand",
	title="A Topological Approach to Hierarchical Segmentation using Mean Shift",
	booktitle=cvpr,
	address="Minneapolis, Minnesota, USA",
	year=2007
}

@book{Parisi88,
	author="G. Parisi",
	title="Statistical Field Theory",
	publisher="Addison Wesley",
	year=1988
}

@article{ParkHJ2003hbm,
	author="H.-J. Park and J.-J. Kim and T. Youn and D. S. Lee and M. C. Lee and J. S. Kwon",
	title="Independent Component Model for Cognitive Functions of Multiple Subjects using {$[{}^{15}O]H_{2}O$} {PET} Images",
	pages="284--295",
	journal="Human Brain Mapping",
	volume=18,
	year=2003
}

@article{ParkH2003bitnm,
	author="H. Park and M. Jeon and J. B. Rosen",
	title="Lower Dimensional Representation of Text Data Based on Centroids and Least Squares",
	pages="427--448",
	journal="BIT Numerical Mathematics",
	volume=43,
	number=2,
	year=2003
}

@inproceedings{ParkHS2006sdm,
	author="H. Park and H. Kim",
	title="One-Sided Non-Negative Matrix Factorization and Non-Negative Centroid Dimension Reduction for Text Classification",
	booktitle="Proceedings of Text Mining Workshop of SIAM Conference on Data Mining",
	year=2006
}

@inproceedings{ParkSH2006ijcnn,
	author="S. Park and S. Choi",
	title="{Rao-Blackwellized} Particle Filtering for Sequential Speech Enhancement",
	booktitle=ijcnn,
	address="Vancouver, Canada",
	year=2006
}

@inproceedings{ParkSH2007ecml,
	author="S. Park and S. Choi",
	title="Source Separation with {Gaussian} Process Models",
	pages="262--273",
	booktitle=ecml,
	address="Warsaw, Poland",
	publisher="Springer",
	year=2007
}

@inproceedings{ParkSH2008icassp,
	author="S. Park and S. Choi",
	title="Gaussian Processes for Source Separation",
	booktitle=icassp,
	address="Las Vegas, Nevada",
	year=2008
}

@inproceedings{ParkSH2010icdm,
	author="S. Park and S. Choi",
	title="Bayesian Aggregation of Binary Classifiers",
	booktitle=icdm,
	address="Sydney, Australia",
	year=2010
}

@inproceedings{ParkSH2011icassp,
	author="S. Park and S. Choi",
	title="Geometric Programming for Classifier Aggregation",
	booktitle=icassp,
	address="Prague, Czech Republic",
	year=2011
}

@techreport{ParkSH2012tr,
	author="S. Park and S. Choi",
	title="Convex Optimization for Binary Classifier Aggregation in Multiclass Problems",
	number="POSTECH-MLG-2012-002",
	institution="Machine Learning Group, Department of Computer Science and Engineering, POSTECH",
	year=2012
}

@inproceedings{ParkSH2013ijcai,
	author="S. Park and Y.-D. Kim and S. Choi",
	title="Hierarchical {Bayesian} Matrix Factorization with Side Information",
	booktitle=ijcai,
	address="Beijing, China",
	year=2013
}

@inproceedings{ParkST2006kdd,
	author="S. -T. Park and D. Pennock and O. Madani and N. Good and D. {DeCoste}",
	title="Na{\"i}ve Filterbots for Robust Cold-Start Recommendations",
	booktitle=kdd,
	address="Philadelphia, PA",
	year=2006
}

@inproceedings{ParraLC97isis,
	author="L. C. Parra and C. Spence and B. De Vries",
	title="Convolutive Source Separation and Signal Modeling with {ML}",
	booktitle=isis,
	address="Regio Calabria, Italy",
	year=1997
}


@inproceedings{ParraLC98nnsp,
	author="L. C. Parra and C. Spence and B. De Vries",
	title="Convolutive Blind Source Separation based on Multiple Decorrelation",
	booktitle=nnsp,
	pages="23--32",
	address="Cambridge, UK",
	year=1998
}

@incollection{ParraLC98lncs,
	author="L. Parra",
	title="Temporal Models in Blind Source Separation",
	editor="Lee Giles and Marco Gori",
	booktitle="Adaptive Processing of Sequences and Data Structures",
	publisher="Springer",
	year=1998
}

@article{ParraLC2000ieeetsap,
	author="L. C. Parra and C. Spence",
	title="Convolutive Blind Source Separation of Non-stationary Sources",
	pages="320--327",
	journal=ieeetsap,
	month="May",
	year=2000
}

@article{ParraLC2000jvlsi,
	author="L. C. Parra and C. Spence",
	title="On-line Convolutive Source Separation of Non-stationary Signals",
	journal="Journal of VLSI Signal Processing",
	volume=26,
	number="1/2",
	month="Aug.",
	year=2000
}

@article{ParraLC2005ni,
	author="L. C. Parra and C. D. Spence and A. D. Gerson",
	title="Recipies for the Linear Analysis of {EEG}",
	pages="326--341",
	journal="NeuroImage",
	volume=28,
	year=2005
}

@article{Pascual-MontanoA2006ieeetpami,
	author="A. {Pascual-Montano} and J. M. Carazo and K. Kochi and D. Lehmann and R. D. {Pascual-Margui}",
	title="Nonsmooth Nonnegtive Matrix Facotorization {(nsNMF)}",
	pages="403--415",
	journal=ieeetpami,
	volume=28,
	number=3,
	year=2006
}

@article{PatakiG98mor,
	author="G. Pataki",
	title="On the Rank of Extreme Matrices in Semidefinite Programs and the Multiplicity of Optimal Eigenvalues",
	pages="339--358",
	journal="Mathematics of Operations Research",
	volume=23,
	issue=2,
	year=1998
}

@book{Papoulis,
	author="A. Papoulis",
	title="Probability, Random Variables, and Stochastic Processes",
	publisher="McGraw-Hill",
	year=1991
}

@inproceedings{PaquetU2013www,
	author="U. Paquet and N. Koenigstein",
	title="One-Class Collaborative Filtering with Random Graphs",
	booktitle=www,
	address="Rio de Janeiro, Brazil",
	year=2013
}

@inproceedings{PaucaVP2004sdm,
	author="V. P. Pauca and F. Shahnaz and M. W. Berry and R. J. Plemmons",
	title="Text Mining Using Non-Negative Matrix Factorizations",
	booktitle=sdm,
	address="Lake Buena Vista, FL",
	year=2004
}

@inproceedings{PaulM2010aaai,
	author="M. Paul and R. Girju",
	title="A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics",
	booktitle=aaai,
	address="Atlanta, GA, USA",
	year=2010
}

@inproceedings{PaulM2012nips,
	author="M. Paul and M. Dredze",
	title="Factorial {LDA}: Sparse Multi-Dimensional Text Models",
	booktitle=nips,
	volume=25,
	year=2012
}

@book{Pearl88,
	author="J. Pearl",
	title="Proabilistic Inference in Intelligent Systems",
	publisher="Morgan Kaufmann",
	year=1999
}

@inproceedings{Pearlmutter96iconip,
	author="B. Pearlmutter and L. Parra",
	title="A Context-Sensitve Generalization of {ICA}",
	pages="151--157",
	booktitle=iconip,
	year=1996
}

@inproceedings{Pearlmutter97nips,
	author="B. Pearlmutter and L. Parra",
	title="Maximum Likelihood Blind Source Separation: A Context-sensitive Generalization of {ICA}",
	pages="613--619",
	booktitle=nips,
	volume=9,
	editor="M. C. Mozer and M. I. Jordan and T. Petsche",
	year=1997
}

@article{Penev96network,
	author="P. Penev and J. Atick",
	title="Local Feature Analysis: A General Statistical Theory for Object Representation",
	pages="477--500",
	journal=network,
	volume=7,
	number=3,
	year=1996
}

@inproceedings{Pentland94cvpr,
	author="A. Pentland and B. Moghaddam and T. Startner",
	title="View-based and Modular Eigenspaces for Face Recognition",
	booktitle=cvpr,
	year=1994
}

@article{Perrett93ivc,
	author="D. J. Perrett and M. W. Oram",
	title="Neurophysiology of Shape Processing",
	journal=ivc,
	volume=11,
	pages="317--333",
	year=1993
}

@article{PfurtschellerG99cn,
	author="G. Pfurtscheller and F. H. {Lopes da Silva}",
	title="Event-Related {EEG/MEG} Synchronization and Desynchronization: Basic Principles",
	journal=cn,
	pages="1842--1857",
	volume=110,
	number=11,
	year=1999
}

@article{Pfurtscheller2001procieee,
	author="G. Pfurtscheller and C. Neuper",
	title="Motor Imagery and Direct Brain-Computer Communication",
	pages="1123--1134",
	journal="Proceedings of of the IEEE",
	volume=89,
	number=7,
	year=2001
}

@inproceedings{PhamDT92eusipco,
	author="D. T. Pham and P. Garrat and C. Jutten",
	title="Separation of Mixture of Independent Sources through a Maximum Likelihood Approach",
	pages="771--774",
	booktitle=eusipco,
	year=1992
}

@article{PhamDT96ieeetsp,
	author="D. T. Pham",
	title="Blind Separation of Instantaneous Mixtures of Sources via an Independent Component Analysis",
	pages="2768--2779",
	journal=ieeetsp,
	volume=44,
	number=11,
	year=1996
}

@article{PhamDT97ieeetsp,
	author="D. T. Pham and P. Garrat",
	title="Blind Separation of Mixtures of Independent Sources a Quasi Maximum Likelihood Approach",
	pages="1712--1725",
	journal=ieeetsp,
	volume=45,
	number=7,
	year=1997
}

@inproceedings{PhamDT99ica,
	author="D. T. Pham",
	title="Mutual Information Approach to Blind Separation of Stationary Sources",
	booktitle=ica99,
	pages="215-220",
	address="Aussois, France",
	year=1999
}

@inproceedings{PhamDT2000ica,
	author="D. T. Pham and J.{-F.} Cardoso",
	title="Blind Separation of Instantaneous Mixtures of Nonstationary Sources",
	booktitle="Proceedings of ICA",
	pages="187--192",
	address="Helsinki, Finland",
	year=2000
}

@techreport{PhamDT2000techreport,
	author="D. T. Pham",
	title="Joint Approximate Diagonalization of Positive Definite Hermitian Matrices",
	number="LMC/IMAG",
	institution="University of Grenoble, France",
	year=2000
}

@article{PhamDT2001siam,
	author="D. T. Pham",
	title="Joint Approximate Diagonalization of Positive Definite Matrices",
	pages="1163--1152",
	journal=siam,
	volume=22,
	number=4,
	year=2001
}

@article{PhamDT2001ieeetsp,
	author="D. T. Pham and J. {-F}. Cardoso",
	title="Blind Separation of Instantaneous Mixtures of Nonstationary Sources",
	pages="1837--1848",
	journal=ieeetsp,
	volume=49,
	number=9,
	year=2001
}

@inproceedings{PhamDT2003ica,
	author="D. T. Pham and C. Serviere and H. Boumaraf",
	title="Blind Separation of Convolutive Audio Mixtures using Nonstationarity",
	pages="107--110",
	booktitle=ica,
	address="Nara, Japan",
	year=2003
}

@inproceedings{PhamHT2015smc,
	author="H. T. Pham and S. Choi",
	title="Pseudo-Supervised Latent {Dirichlet} Allocation for Image Annotation",
	booktitle=smc,
	address="Hong Kong",
	year=2015
}

@inproceedings{PhilbinJ2007cvpr,
	author="J. Philbin and O. Chum and M. Isard and J. Sivic and A. Zisserman",
	title="Object Retrieval with Large Vocabularies and Fast Spatial Matching",
	booktitle=cvpr,
	address="Minneapolis, Minnesota, USA",
	year=2007
}

@article{PhillipsPJ2000ieeetpami,
	author="P. J. Phillips and H. Moon and S. A. Rizvi and P. J. Rauss",
	title="The {FERET} Evaluation Methodlogy for Face Recognition Algorhtims",
	pages="1090--1104",
	journal=ieeetpami,
	volume=22,
	number=10,
	year=2000
}

@inproceedings{PilaszyI2010recsys,
	author="I .Pil{\'a}szy and D. Zibriczky and D. Tikk",
	title="Fast {ALS}-Based Matrix Factorization for Explicit and Implicit Feedback Datasets",
	booktitle=recsys,
	address="Barcelona, Spain",
	year=2010
}

@article{PitmanJ97aop,
	author="J. Pitman and M. Yor",
	title="The Two-Parameter {Poisson-Dirichlet} Distribution Derived from a Stable Subordinator",
	pages="855--900",
	journal="The Annals of Probability",
	volume=25,
	number=2,
	year=1997
}

@article{PlanY2013ieeetit,
	author="Y. Plan and R. Vershynin",
	title="Robust 1-bit Compressed Sensing and Sparse Logistic Regression: A Convex Programming Approach",
	pages="482--494",
	journal=ieeetit,
	volume=59,
	number=1,
	year=2013
}

@inproceedings{PlattJC92nips,
	author="J. C. Platt and F. Faggins",
	title="Networks for the separation of sources that are superimposed and delayed",
	booktitle=nips,
	volume=4,
	year=1992
}

@incollection{PlattJC99lmc,
	author="J. C. Platt",
	title="Probabilistic Outputs for Support Vector Machines and Comparisons to Regularized Likelihood Methods",
	pages="61--74",
	editor="P. J. Bartlett and B. Sch{\"o}lkopf and D. Schuurmans and A. J. Smola",
	booktitle="Advances in Large Margin Classifiers",
	publisher="MIT Press",
	year=1999
}

@inproceedings{PlattJC2005aistats,
	author="J. C. Platt",
	title="{FastMap}, {MetricMap}, and Landmark {MDS} are all {Nystr\"om} Algorithms",
	pages="261--268",
	booktitle=aistats,
	year=2005
}

@article{PlemmonsR2006ipm,
	author="F. Shahnaz and M. Berry and P. Pauca and R. Plemmons",
	title="Document Clustering Using Nonnegative Matrix Factorization",
	pages="373--386",
	journal="Information Processing and Management",
	volume=42,
	year=2006
}

@inproceedings{PlotzT2011ijcai,
	author="T. Pl{\"o}tz and H. Y. Hammerla and P. Olivier",
	title="Feature Learning for Activity Recognition in Uniquitous Computing",
	booktitle=ijcai,
	address="Barcelona, Spain",
	year=2011
}

@article{PlumbleyMD2002cybsys,
	author="M. D. Plumbley and S. A. Abdallah and J. P. Bello and M. E. Davies and G. Monti and M. B. Sandler",
	title="Automatic Transcription and Audio Source Separation",
	journal=cybsys,
	pages="603--627",
	year=2002
}

@article{PlumbleyMD2003ieeetnn,
	author="M. D. Plumbley",
	title="Algorithms for Nonnegative Independent Component Anlaysis",
	pages="534--543",
	journal=ieeetnn,
	volume=14,
	number=3,
	month="May",
	year=2003
}

@inproceedings{PlumbleyMD2007icassp,
	author="M. D. Plumbley",
	title="Geometry and Manifolds for Independent Component Analysis",
	booktitle=icassp,
	address="Honolulu, Hawaii",
	year=2007
}

@article{PollackM60or,
	author="M. Pollack",
	title="The Maximum Capacity Through a Network",
	pages="733--736",
	journal="Operation Research",
	volume=8,
	number=5,
	year=1960
}

@inproceedings{PopesculA2001uai,
	author="A. Popescul and L. H. Ungar and D. M. Pennock and S. Lawrence",
	title="Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environment",
	booktitle=uai,
	year=2001
}

@inproceedings{PorteousI2008kdd,
	author="I. Proteous and D. Newman and A. Ihler and A. Asuncion and P. Smyth and M. Welling",
	title="Fast Collapsed {Gibbs} Sampling for Latent {Dirichlet} Allocation",
	booktitle=kdd,
	address="Las Vegas, Nevada, USA",
	year=2008
}

@inproceedings{PorteousI2010aaai,
	author="I. Proteous and A. Asuncion and M. Welling",
	title="Bayesian Matrix Factorization with Side Information and {Dirichlet} Process Mixtures",
	booktitle=aaai,
	address="Atlanta, GA, USA",
	year=2010
}

@inproceedings{PriceBL2010cvpr,
	author="B. L. Price and B. S. Morse and S. Cohen",
	title="Geodesic Graph Cut for Interactive Image Segmentation",
	pages="3161--3168",
	booktitle=cvpr,
	address="San Francisco, CA",
	year=2010
}

@incollection{Principe2000,
	author="J. C. Principe and D. Xu and J. W. {Fisher III}",
	title="Information-Theoretic Learning",
	pages="265--319",
	editor="S. Haykin",
	booktitle="Unsupervised Adaptive Filtering: Blind Source Separation",
	publisher="John Wiley \& Sons, Inc.",
	year=2000
}

@book{Proakis,
	author="J. G. Proakis",
	title="Digital Communications",
	publisher="McGraw-Hill",
	year=1989
}

@inproceedings{PutthividhyaD2009icml,
	author="D. Putthividhya and H. T. Attias and S. S. Nagarajan",
	title="Independent Factor Topic Models",
	booktitle=icml,
	address="Montreal, Canada",
	year=2009
}

@inproceedings{PutthividhyaD2010cvpr,
	author="D. Putthividhya and H. T. Attias and S. S. Nagarajan",
	title="Topic Regression Multi-Modal Latent {Dirichlet} Allocation for Image Annotation",
	booktitle=cvpr,
	address="San Francisco, CA, USA",
	year=2010
}

@inproceedings{QiY2006nips,
	author="Y. Qi and T. S. Jaakkola",
	title="Parameter Expanded Variational {Bayeisian} Methods",
	booktitle=nips,
	volume=19,
	year=2007
}

@article{Quinonero-CandelaJ2005jmlr,
	author="J. {Qui\~{n}onero-Candela} and C. E. Rasmussen",
	title="A Unifying View of Sparse Approximate {Gaussian} Process Regression",
	pages="1939--1959",
	journal=jmlr,
	volume=6,
	year=2005
}

@article{Rabiner86ieeetassp,
	author="L. R. Rabiner and B. H. Juang",
	title="An Introduction to Hidden {Markov} Models",
	pages="4--16",
	journal="IEEE Transactions on Acoustics, Speech, and Signal Processing Magazine",
	volume=3,
	year=1986
}

@article{Raftery95ml,
	author="A. Raftery",
	title="{Bayesian} Model Selection in Social Research",
	pages="197--243",
	journal="Machine Learning",
	volume=20,
	year=1995
}

@inproceedings{RaginskyM2009nips,
	author="M. Raginsky and S. Lazebnik",
	title="Locality-Sensitive Binary Codes from Shift-Invariant Kernels",
	booktitle=nips,
	volume=22,
	publisher="MIT Press",
	year=2009
}

@inproceedings{Rahbar2001ica,
	author="K. Rahbar and J. P. Reilly",
	title="Blind Source Separation Algorithm for {MIMO} Convolutive Mixtures",
	pages="187--190",
	booktitle=ica,
	address="San Diego, CA",
	year=2001
}

@inproceedings{RahimiA2007nips,
	author="A. Rahimi and B. Recht",
	title="Random Features for Large-Scale Kernel Machines",
	booktitle=nips,
	volume=20,
	year=2008
}

@inproceedings{RahmaniR2006icml,
	author="R. Rahmani and S. A. Goldman",
	title="{MISSL:} Multiple-Instance Semi-Supervised Learning",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@article{RahmaniR2008ieeetpami,
	author="R. Rahmani and S. A. Goldman and H. Zhang and S. R. Cholleti and J. E. Fritts",
	title="Localized Content Based Image Retrieval",
	pages="1902--1912",
	journal=ieeetpami,
	volume=30,
	number=11,
	year=2008
}

@inproceedings{RaiP2010aistats,
	author="P. Rai and H. {Daum\'e III}",
	title="Infinite Predictor Subspace Models for Multitask Learning",
	booktitle=aistats,
	address="Sardinia, Italy",
	year=2010
}

@inproceedings{RaikoT2007ecml,
	author="T. Raiko and A. Ilin and J. Karhunen",
	title="Principal Component Analysis for Large Scale Problems with Lots of Missing Values",
	pages="691--698",
	booktitle=ecml,
	address="Warsaw, Poland",
	year=2007
}

@inproceedings{RajB2005iwaspaa,
	author="B. Raj and P. Smaragdis",
	title="Latent Variable Decomposition of Spectrograms for Single Channel Speaker Separation",
	pages="17--20",
	booktitle="Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",
	year=2005
}

@inproceedings{RajaramS2005nips,
	author="S. Rajaram and S. Agarwal",
	title="Generalization Bounds for $k$-Partite Ranking",
	booktitle="Proceedings of the NIPS 2005 Workshop on Learning to Rank",
	year=2005
}

@book{RajaramanA2011book,
	author="A. Rajaraman and J. Ullman",
	title="Mining of Massive Datasets",
	publisher="Cambridge University Press",
	year=2011
}

@inproceedings{RalaivolaL2004nips,
	author="L. Ralaivola and F. {d'Alch\'e-Buc}",
	title="Dynamical Modeling with Kernels for Nonlinear Time Series Prediction",
	booktitle=nips,
	volume=16,
	year=2005
}

@inproceedings{RalaivolaL2005ijcnn,
	author="L. Ralaivola and F. {d'Alch\'e-Buc}",
	title="Nonlinear Time Series Filtering, Smoothing and Learning using the Kernel {Kalman} Filter",
	booktitle=ijcnn,
	year=2005
}

@inproceedings{RamageD2009emnlp,
	author="D. Ramage and D. Hall and H. Nallapati and C. D. Manning",
	title="Labeled {LDA}: A Supervised Topic Model for Credit Attribution in Multi-Labeled Corpora",
	booktitle=emnlp,
	address="Singapore",
	year=2009
}

@article{RamaswamyS2001pnas,
	author="S. Ramaswamy and P. Tamayo and R. Rifkin and S. Mukherjee and C. H. Yeang and M. Angelo and C. Ladd and M. Reich and E. Latulippe and J. P. Mesirov and T. Poggio and W. Gerald and M. Loda and E. S. Lander and T. R. Golub",
	title="Multiclass Cancer Diagnosis using Tumor Gene Expression Signatures",
	pages="15149--15154",
	journal=pnas,
	volume=98,
	number=26,
	year=2001
}

@article{RamoserH2000ieeetrehab,
	author="H. Ramoser and J. {M{\"u}ller-Gerking} and G. Pfurtscheller",
	title="Optimal Spatial Filtering of Single Trial {EEG} during Imagined Hand Movement",
	journal="IEEE Transactions on Rehabilitation Engineering",
	pages="441--446",
	volume=8,
	year=2000
}

@inproceedings{Rao98icassp,
	author="B. Rao",
	title="Signal Processing with the Sparseness Constraint",
	pages="1861--1864",
	booktitle=icassp,
	year=1998
}

@article{RaoBD2003ieeetsp,
	author="B. D. Rao and K. Engan and S F. Cotter and J. Palmer and K. {Kreutz-Delgado}",
	title="Subsect Selection in Noise Based on Diversity Measure Minimization",
	pages="760--770",
	journal=ieeetsp,
	volume=51,
	number=3,
	year=2003
}

@inproceedings{RaoV2009nips,
	author="V. Rao and Y. W. Teh",
	title="Spatial Normalized {Gamma} Processes",
	booktitle=nips,
	volume=22,
	year=2009
}

@book{RardinRL98book,
	author="R. L. Rardin",
	title="Optimization in Operations Research",
	publisher="Prentice Hall",
	year=1998
}

@inproceedings{RasmussenCE2001nips,
	author="C. E. Rasmussen and Z. Ghahramani",
	title="Infinite Mixtures of {Gaussian} Process Experts",
	booktitle=nips,
	volume=14,
	year=2002
}

@book{RasmussenCE2006book,
	author="C. E. Rasmussen and C. K. I. Williams",
	title="Gaussian Processes for Machine Learning",
	publisher="MIT Press",
	year=2006
}

@inproceedings{RatschG2002nips,
	author="G. R{\"a}tsch and A. J. Smola and S. Mika",
	title="Adapting Codes and Embeddings for Polychotomies",
	booktitle=nips,
	volume=15,
	year=2003
}

@book{RaudenbushS2002book,
	author="S. Raudenbush and A. Bryk",
	title="Hierarchical Linear Models",
	edition=2,
	publisher="Thousand Oaks: Sage Publications",
	year=2002
}

@inproceedings{RayS2001icml,
	author="S. Ray and D. Page",
	title="Multiple Instance Regression",
	booktitle=icml,
	address="Williamstown, MA",
	year=2001
}

@inproceedings{RayS2005icml,
	author="S. Ray and M. Craven",
	title="Supervised versus Multiple Instance Learning: An Empirical Comparison",
	booktitle=icml,
	address="Bonn, Germany",
	year=2005
}

@article{RechtB2011jmlr,
	author="B. Recht",
	title="A Simpler Approach to Matrix Completion",
	pages="3413--3430",
	journal=jmlr,
	volume=12,
	year=2011
}

@inproceedings{ReadJ2009ecmlpkdd,
	author="J. Read and B. Pfahringer and G. Holmes and E. Frank",
	title="Classifiere Chains for Multi-Label Classification",
	booktitle=ecmlpkdd,
	address="Bled, Slovenia",
	year=2009
}

@article{RegazziniE2003aos,
	author="E. Regazzini and A. Lijoi and I. Pr{\"u}nster",
	title="Distriubtional Results for Means of Normalized Random Measures with Independent Increments",
	pages="560--585",
	journal=aos,
	volume=31,
	number=2,
	year=2003
}

@article{ReichardtJ2007epjb,
	author="J. Reichardt and D. R. White",
	title="Role Models for Complex Networks",
	pages="217--224",
	journal="European Physical Journal B",
	volume=60,
	number=2,
	year=2007
}

@inproceedings{RenL2008icml,
	author="L. Ren and D. B. Dunson and L. Carin",
	title="The Dynamic Hierarchical {Dirichlet} Process",
	booktitle=icml,
	address="Helsinki, Finland",
	year=2008
}

@article{RendlF99anm,
	author="F. Rendl",
	title="Semidefinite Programming and Combinatorial Optimization",
	pages="255--281",
	journal="Applied Numerical Mathematics",
	volume=29,
	number=3,
	year=1999
}

@inproceedings{ReneveyP2001eurospeech,
	author="P. Renevey and A. Drygajlo",
	title="Entropy Based Voice Activity Detection in Very Noisy Conditions",
	booktitle="Proceedings of EUROSPEECH",
	year=2001
}

@inproceedings{RennieJDM2005icml,
	author="J. D. M. Rennie and N. Srebro",
	title="Fast Maximum Margin Matrix Factorization for Collaborative Prediction",
	booktitle=icml,
	address="Bonn, Germany",
	year=2005
}

@inproceedings{RennieJDM2005ijcaiworkshop,
	author="J. D. M. Rennie and N. Srebro",
	title="Loss Functions for Preference Levels: Regression with Discrete Ordered Labels",
	booktitle="Proceedings of the IJCAI Multidisciplinary Workshop on Advances in Preference Handling",
	year=2005
}

@inproceedings{ResnickP94acmcscw,
	author="P. Resnick and N. Iacovou and N. Suchak and P. Bergstrom and J. Riedl",
	title="{GroupLens}: An Open Architecture for Collaborative Filtering of Netnews",
	pages="175--186",
	booktitle="Proceedings of the ACM Conference on Computer Supported Cooperative Work",
	year=1994
}

@inproceedings{RicciF98ecml,
	author="F. Ricci and D. W. Aha",
	title="Error-Correcting Output Codes for Local Learners",
	pages="280--291",
	booktitle=ecml,
	publisher="Springer",
	year=1998
}

@article{Richardson97jrssb,
	author="S. Richardson and P. J. Green",
	title="On {Bayesian} Analysis of Mixtures with an Unknown Number of Components",
	pages="731--792",
	journal=jrssb,
	volume=59,
	year=1997
}

@article{Riesenhuber99nature,
	author="M. Riesenhuber and T. Poggio",
	title="Hierarchical Models of Object Recognition in Cortex",
	pages="1019--1025",
	journal="Nature",
	year=1999,
}

@book{RobertCP2004book,
	author="C. P. Robert and G. Casella",
	title="Monte {Carlo} Statistical Methods",
	publisher="Springer",
	year=2004
}

@article{RobertsSJ98iee,
	author="S. J. Roberts",
	title="Independent Component Analysis: Source Assesment {&} Separation, a Bayesian Approach",
	pages="149--154",
	journal="IEE Proceedings - Vision, Image {&} Signal Processing",
	volume=145,
	number=3,
	year=1998
}

@article{RobertsSJ2000pr,
	author="S. J. Roberts and R. Everson and I. Rezek",
	title="Maximum Certainty Data Partitioning",
	pages="833--839",
	journal="Pattern Recognition",
	volume=33,
	year=2000
}

@article{RobertsSJ2001ieeetpami,
	author="S. J. Roberts and C. Holmes and D. Denison",
	title="Minimum Entropy Data Partitioning Using Reversible Jump {Markov} Chain {Monte Carlo}",
	pages="909--914",
	journal=ieeetpami,
	volume=23,
	number=8,
	year=2001
}

@book{RobertsSJ2001book,
	author="S. J. Roberts and R. Everson",
	title="Independent Component Analysis: Principles and Practice",
	publisher="Cambridge University Press",
	year=2001
}

@article{RodriguezA2008jasa,
	author="A. Rodr{\'i}guez and D. B. Dunson and A. E. Gelfand",
	title="The nested {Dirichlet} process",
	pages="1131--1154",
	journal="Journal of the American Statistical Association",
	volume=103,
	number=483,
	year=2008
}

@techreport{RosipalR2000tr,
	author="R. Rosipal and L. J. Trejo and A. Cichocki",
	title="Kernel Principal Component Regression with {EM} Approach to Nonlinear Principal Components Extraction",
	number="12",
	institution="Department of Computing and Information Systems, University of Paisley",
	year=2000
}

@article{RosipalR2001nc,
	author="R. Rosipal and M. Girolami",
	title="An Expectation-Maximization Approach to Nonlinear Component Analysis",
	pages="505--510",
	journal=nc,
	volume=13,
	year=2001
}

@article{RosipalR2001jmlr,
	author="R. Rosipal and L. J. Trejo",
	title="Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space",
	pages="97--123",
	journal="Journal of Machine Learning Research",
	volume=2,
	month="Dec.",
	year=2001
}

@techreport{RothV2002tr,
	author="V. Roth and J. Laub and M. Kawanabe and J. M. Buhmann",
	title="Optimal Cluster Preserving Embedding of Non-Metric Proximity Data",
	number="IAI-TR-2002-5",
	institution="University of Bonn",
	year=2002
}

@inproceedings{RothV2002nips,
	author="V. Roth and J. Laub and J. M. Buhmann and K. {-R.} {M\"uller}",
	title="Going Metric: Denoising Pairwise Data",
	booktitle=nips,
	volume=15,
	year=2003
}

@article{RothV2003ieeetpami,
	author="V. Roth and J. Laub and M. Kawanabe and J. M. Buhmann",
	title="Optimal Cluster Preserving Embedding of Nonmetric Proximity Data",
	pages="1540--1551",
	journal=ieeetpami,
	volume=25,
	number=12,
	year=2003
}

@inproceedings{RoweisST97nips,
	author="S. T. Roweis",
	title="{EM} Algorithms for {PCA} and {SPCA}",
	pages="626--632",
	booktitle=nips,
	volume=10,
	publisher="MIT Press",
	year=1998
}

@article{RoweisST99nc,
	author="S. T. Roweis and Z. Ghahramani",
	title="A Unifying Review of Linear {Gaussian} Models",
	pages="305-345",
	journal=nc,
	editor="M. Jordan and M. Kearns and S. Solla",
	volume=11,
	number=2,
	year=1999
}

@article{RoweisST2000science,
	author="S. T. Roweis and L. Saul",
	title="Nonlinear Dimensionality Reduction by Locally Linear Embedding",
	pages="2323--2326",
	journal="Science",
	volume=290,
	year=2000
}

@inproceedings{RoweisST2001nips,
	author="S. T. Roweis and L. Saul and G. Hinton",
	title="Global Coordinataion of Locally Linear Models",
	pages="626--632",
	booktitle=nips,
	volume=14,
	year=2002
}

@inproceedings{RoyDM2008neurips,
	author="D. M. Roy and Y. W. Teh",
	title="The {Mondrian} Process",
	booktitle=neurips,
	volume=21,
	pages="1377--1384",
	address=venue-neurips-2008,
	year=2008
}

@article{RoyR89ieeetassp,
	author="R. Roy and T. Kailath",
	title="{ESPRIT} - Estimation of Signal Parameters via Rotaional Invariance Techniques",
	pages="984--995",
	journal=ieeetassp,
	volume=37,
	number=7,
	month="July",
	year=1989
}

@article{RubinDB76biometrika,
	author="D. B. Rubin",
	title="Inference and Missing Data",
	pages="581--592",
	journal="Biometrika",
	volume=63,
	number=3,
	year=1976
}

@article{Rubin82,
	author="D. Rubin and D. Thayer",
	title="{EM} Algorithms for {ML} Factor Analysis",
	pages="69--76",
	journal="Psychometrika",
	volume=47,
	year=1982
}

@article{RusselBC2008ijcv,
	author="B. C. Russel and A. Torralba and K. P. Murphy and W. T. Freeman",
	title="{LabelMe}: A Database and Web-Based Tool for Image Annotation",
	pages="157--173",
	journal=ijcv,
	volume=77,
	year=2008
}

@inproceedings{SadeghiMA2011cvpr,
	author="M. A. Sadeghi and A. Farhadi",
	title="Recognition using Visual Phrases",
	booktitle=cvpr,
	address="Colorado Springs, USA",
	year=2011
}

@inproceedings{SaitoY2002icip,
	author="Y. Saito and Y Kenmochi and K. Kotani",
	title="Estimation of Eyeglasses Facial Images using Principal Component Analysis",
	pages="197--201",
	booktitle=icip,
	year=2002
}

@article{SajdaP2003ieeetrehab,
	author="P. Sajda and A. Gerson and K. -R. M{\"u}ller and B. Blankertz and L. Parra",
	title="A Data Analysis Competition to Evaluate Machine Learning Algorithms for Use in Brain-Computer Onterfaces",
	pages="184--185",
	journal=ieeetrehab,
	volume=11,
	number=2,
	year=2003
}

@inproceedings{SalakhutdinovR2007aistats,
	author="R. Salakhutdinov and G. Hinton",
	title="Learning a Nonlinear Embedding by Preserving Class Neighbourhood Structure",
	booktitle=aistats,
	address="San Juan, Puerto Rico",
	year=2007
}

@inproceedings{SalakhutdinovR2007icml,
	author="R. Salakhutdinov and A. Mnih and G. Hinton",
	title="Restricted {Boltzmann} Machines for Collaborative Filtering",
	booktitle=icml,
	address="Corvallis, OR, USA",
	year=2007
}

@inproceedings{SalakhutdinovR2007sigirworkshop,
	author="R. Salakhutdinov and G. Hinton",
	title="Semantic Hashing",
	booktitle="Proceeding of the SIGIR Workshop on Information Retrieval and Applications of Graphical Models",
	year=2007
}

@inproceedings{SalakhutdinovR2007nips,
	author="R. Salakhutdinov and A. Mnih",
	title="Probablistic Matrix Factorization",
	booktitle=nips,
	volume=20,
	year=2008
}

@inproceedings{SalakhutdinovR2008icml,
	author="R. Salakhutdinov and A. Mnih",
	title="Bayesian Probablistic Matrix Factorization using {MCMC}",
	booktitle=icml,
	address="Helsinki, Finland",
	year=2008
}

@inproceedings{SalakhutdinovR2009aistats,
	author="R. Salakhutdinov and G. Hinton",
	title="Deep {Boltzmann} Machines",
	booktitle=aistats,
	address="Clearwater Beach, Florida, USA",
	year=2009
}

@inproceedings{SalakhutdinovR2010nips,
	author="R. Salakhutdinov and N.Srebro",
	title="Collaborative Filtering in a Non-Uniform World: Learning with Weighted Trace Norm",
	booktitle=nips,
	volume=23,
	year=2010
}

@inproceedings{SalomatinK2009sdm,
	author="K. Salomatin and Y. Yang and A. Lad",
	title="Multi-Field Correlated Topic Modeling",
	booktitle=sdm,
	address="Sparks, Nevada, USA",
	year=2009
}

@inproceedings{SalzmannM2010aistats,
	author="M. Salzmann and C. H. Ek and R. Urtasun and T. Darrell",
	title="Factorized Orthogonal Latent Spaces",
	booktitle=aistats,
	address="Sardinia, Italy",
	year=2010
}

@article{SametiH98ieeetsap,
	author="H. Sameti and H. Sheikhzadeh and L. Deng and R. L. Brennan",
	title="{HMM}-Based Strategies for Enhancement of Speech Signals Embedded in Nonstationary Noise",
	pages="445-455",
	journal=ieeetsap,
	volume=6,
	number=5,
	year=1998
}

@article{SandeKEA2010ieeetpami,
	author="K. E. A. {van de Sande} and T Gevers and C. G. M. Snoek",
	title="Evaluating Color Descriptors for Object and Scene Recognition",
	pages="1582--1596",
	journal=ieeetpami,
	volume=32,
	number=9,
	year=2010
}

@inproceedings{SandersonC2002icip,
	author="C. Sanderson and K. K. Paliwal",
	title="Polynomial Features for Robust Face Authentication",
	booktitle=icip,
	address="Rochester, NY",
	year=2002
}

@inproceedings{Sanger89nips,
	author="T. D. Sanger",
	title="An Optimality Principle for Unsupervised Learning",
	pages="11--19",
	booktitle=nips,
	year=1989
}

@article{Sanger89nn,
	author="T. D. Sanger",
	title="Optimal Unsupervised Learning in a Single-Layer Linear Feedforward Neural Network",
	pages="459--473",
	journal=nn,
	volume=2,
	number=6,
	year=1989
}

@article{SantamariaI2006ieeetsp,
	author="I. Santamar\'{i}a and P. P. Pokharel and J. C. Principe",
	title="Generalized Correlation Function: Definition, Properties, and Application to Blind Equalization",
	pages="2187--2197",
	journal=ieeetsp,
	volume=54,
	number=6,
	year=2006
}

@inproceedings{SantoroA2016icml,
	author="A. Santoro and S. Bartunov and M. Botvinick and D. Wierstra and T. Lilicrap",
	title="Meta-Learning with Memory-Augmented Neural Networks",
	booktitle=icml,
	address="New York, New York, USA",
	pages="1842--1850",
	year=2016
}

@inproceedings{Saruwatari2001ica,
	author="H. Saruwatari and T. Kawamura and K. Shikano",
	title="Blind Source Separation Based on Fast-Convergence Algorithm Using {ICA} and Array Signal Processing",
	pages="412--417",
	booktitle=ica,
	address="San Diego, CA",
	year=2001
}

@inproceedings{SarwarB2001www,
	author="B. Sarwar and G. Karypis and J. Konstan and J. Riedl",
	title="Item-Based Collaborative Filtering Recommendation Algorithms",
	booktitle=www,
	address="Hong Kong",
	year=2001
}

@article{Sato75ieeetcom,
	author="Y. Sato",
	title="A Method of Self-recovering Equalization for Multilevel Amplitude Modulation",
	pages="679--683",
	journal=ieeetcom ,
	volume=29 ,
	year=1975
}


@article{SaulL96jair,
	author="L. Saul and T. Jakkola and M. I. Jordan",
	title="Mean Field Theory for Sigmoid Belief Networks",
	pages="61--76",
	journal="Journal of Artificial Intelligence Research",
	volume=4,
	year=1996
}

@inproceedings{SaulL2003eurospeech,
	author="L. K. Saul and F. Sha and D. D. Lee",
	title="Statistical Signal Processing with Nonnegativity Constraints",
	pages="1001--1004",
	booktitle="Proceedings of EUROSPEECH",
	address="Geneva, Switzerland",
	year=2003
}

@article{SaulL2003jmlr,
	author="L. Saul and S. T. Roweis",
	title="Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifolds",
	pages="119--155",
	journal="Journal of Machine Learning Research",
	volume=4,
	month="June",
	year=2003
}

@inproceedings{Sawada2005iscas,
	author="H. Sawada and S. Araki and R. Mukai and S. Makino",
	title="Blind Extraction of a Dominant Sourcee Signal from Mixtures of Many Sources Using {ICA} and Time-frequency Masking",
	pages="5882--5885",
	booktitle=iscas,
	address="Kobe, Japan",
	year=2005
}

@inproceedings{SarwarBM2008webkdd,
	author="B. M. Sarwar and G. Karypis and J. A. Konstan and J. T. Riedl",
	title="Application of Dimensionality Reduction in Recommender System: A Case Study",
	booktitle="Proceedings of WEBKDD",
	year=2008
}

@article{SchapireRE2000ml,
	author="R. E. Schapire and Y. Singer",
	title="{BoosTexter:} A Boosting-Based System for Text Categorization",
	pages="135--168",
	journal="Machine Learning",
	volume=39,
	year=2000
}

@inproceedings{ScheinAI2001sigir_wrs,
	author="A. I. Schein and A. Popescul and D. M. Pennock",
	title="Generative Models for Cold-Start Recommendations",
	booktitle="Proceedings of the SIGIR Workshop on Recommender Systems",
	address="New Orleans, LA",
	year=2001
}

@inproceedings{SchelterS2013recsys,
	author="S. Schelter and C. Boden and M. Schenck and A. Alexandrov and V. Markl",
	title="Distributed Matrix Factorization with Mapreduce Using a Series of Broadcast-Joins",
	booktitle=recsys,
	address="Hong Kong, China",
	year=2013
}

@article{Schiessl2000ieeetbme,
	author="I. Schiessl and M. Stetter and J. W. W. Mayhew and N. McLoughlin and J. S. Lund and K. Obermayer",
	title="Blind Signal Separation from Optical Imaging Recordings with Extended Spatial Decorrelation",
	journal=ieeetbme,
	year="2000, in press"
}

@inproceedings{SchifanellaR2010wsdm,
	author="R. Schifanella and A. Barrat and C. Cattuto and B. Markines and F. Menczer",
	title="Folks in Folksonomies: Social Link Prediction from Shared Metadata",
	booktitle=wsdm,
	address="New York City, NY",
	year=2010
}

@inproceedings{SchloglA2003ieeeembs,
	author="A. {Schl\"ogl} and C. Keinrath and R. Scherer and G. Pfurtscheller",
	title="Information Transfer of an {EEG}-Based Brain Computer Interface",
	pages="641--644",
	booktitle="Proceedings of IEEE EMBS Conference on Neural Engineering",
	address="Capri Island, Italy",
	year=2003
}

@phdthesis{SchmidhuberJ87phd,
	author="J. Schmidhuber",
	title="Evolutionary Principles in Self-Referential Learning",
	school="Technical University of Munich",
	year=1987
}

@article{SchmidhuberJ97mlj,
	author="J. Schmidhuber and J. Zhao and M. Wiering",
	title="Shifting Inductive Bias with Success-Story Algorithm, Adaptive Levin Search, and Incremental Self-Improvement",
	pages="105--130",
	journal=mlj,
	volume=28,
	year=1997
}

@article{Scholkopf98nc,
	author="B. {Sch\"olkopf} and A. J. Smola and K. {-R.} {M\"uller}",
	title="Nonlinear Component Analysis as a Kernel Eigenvalue Problem",
	pages="1299--1319",
	journal=nc,
	volume=10,
	number=5,
	year=1998
}

@book{ScholkopfB2002book,
	author="B. {Sch\"olkopf} and A. J. Smola",
	title="Learning with Kernels",
	publisher="MIT Press",
	year=2002
}

@article{Schrepp2003mpro,
	author="M. Schrepp",
	title="A Method for the Analysis of Hierarchical Dependencies between Items of Questionaire",
	pages="43--79",
	journal="Methods of Psychological Research Online",
	year=2003,

}

@article{SchwarzG78astats,
	author="G. Schwarz",
	title="Estimating the Dimension of a Model",
	pages="461--464",
	journal="Annals of Statistics",
	volume=6,
	year=1978
}

@phdthesis{SeegerM2003phd,
	author="M. Seeger",
	title="Bayesian {Gaussian} Process Models: {PAC-Bayesian} Generalisation Error Bounds and Sparse Approximations",
	school="Institute of Adaptive and Neural Computation, University of Edinburgh",
	year=2003
}

@inproceedings{SeegerM2003aistats,
	author="M. Seeger and C. K. I. Williams and N. D. Lawrence",
	title="Fast Forward Selection to Speed up Sparse {Gaussian} Process Regression",
	booktitle=aistats,
	year=2003
}

@article{SeegerM2004ijns,
	author="M. Seeger",
	title="Gaussian Processes for Machine Learning",
	pages="69--106",
	journal=ijns,
	volume=14,
	number=2,
	year=2004
}

@article{SeiterJ2014pmc,
	author="J. Seiter and O. Amft and M. Rossi and G. Tr{"o}ster",
	title="Discovery of Activity Composites using Topic Models: An Analysis of Unsupervised Methods",
	journal="Pervasive and Mobile Computing",
	note="in press",
	year=2014
}

@article{SethuramanJ94ss,
	author="J. Sethuraman",
	title="A Constructive Definition of {Dirichlet} Priors",
	pages="639--650",
	journal="Statistica Sinica",
	volume=4,
	year=1994
}

@inproceedings{ShardanandU95chi,
	author="U. Shardanand and P. Maes",
	title="Social Information Filtering: Algorithms for Automating 'Word of Mouth'",
	pages="210--217",
	booktitle=chi,
	year=1995
}

@book{ShaferG76book,
	author="G. Shafer",
	title="A Mathematical Theory of Evidence",
	publisher="Princeton University Press",
	address="Princeton, NJ",
	year=1976
}

@article{ShahnazF2006ipm,
	author="F. Shahnaz and M. Berry and P. Pauca and R. Plemmons",
	title="Document Clustering Using Nonnegative Matrix Factorization",
	pages="373--386",
	journal=ipm,
	volume=42,
	year=2006
}

@inproceedings{ShakedU92cdc,
	author="U. Shaked and Y. Theodor",
	title="{$H_{\infty}$}-Optimal Estimation: A Tutorial",
	pages="2278--2286",
	booktitle="Proceedings of IEEE CDC",
	year=1992
}

@inproceedings{ShakhnarovichG2003iccv,
	author="G. Shakhnarovich and P. Viola and T. Darrel",
	title="Face Pose Estimation with Parameter Sensitive Hashing",
	booktitle=iccv,
	address="Beijing, China",
	year=2003
}

@book{ShakhnarovichG2006book,
	author="G. Shakhnarovich and T. Darrell and P. Indyk",
	title="Nearest-Neighbor Methods in Learning and Vision: Theory and Practice",
	publisher="MIT Press",
	year=2006
}

@inproceedings{Shalev-ShwartzS2007icml,
	author="S. {Shalev-Shwartz} and Y. Singer and N. Srebro",
	title="{Pegasos:} Primal Estimated sub-GrAdient SOlver for {SVM}",
	booktitle=icml,
	address="Covallis, OR, USA",
	year=2007
}

@article{Shalvi90ieeetit,
	author="O. Shalvi and E. Weinstein",
	title="New Criteria for Blind Deconvolution of Nonminimum Phase Systems",
	pages="312--321",
	journal=ieeetit,
	volume=36,
	year=1990
}

@article{Shamma2001tcs,
	author="S. Shamma",
	title="On the Role of Space and Time in Auditory Processing",
	pages="340--348",
	journal="TRENDS in Cognitive Sciences",
	volume=5,
	number=8,
	year=2001
}

@book{Shannon,
	author="C. E. Shannon and W. Weaver",
	title="The Mathematical Theory of Communications",
	publisher="University of Illinois Press",
	year=1949
}

@inproceedings{ShapiraA2007soda,
	author="A. Shapira and R. Yuster and U. Zwick",
	title="All-Pairs Bottleneck Paths in Vertex Weighted Graphs",
	pages="978--985",
	booktitle=soda,
	year=2007
}

@inproceedings{SharonE2000cvpr,
	author="E. Sharon and A. Brandt and R. Basri",
	title="Fast Multiscale Image Segmentation",
	booktitle=cvpr,
	year=2000
}

@article{SharonE2006nature,
	author="E. Sharon and M. Galun and D. Sharon and R. Basri and A. Brandt",
	title="Hierarchy and Adaptivity in Segmenting Visual Scenes",
	pages="810--813",
	journal=nature,
	volume=442,
	number=7104,
	year=2006
}

@inproceedings{ShashankaM2007icassp,
	author="M. Shashanka and B. Raj and P. Smaragdis",
	title="Sparse Overcomplete Decomposition for Single Channel Speaker Separation",
	booktitle=icassp,
	address="Honolulu, Hawaii",
	year=2007
}

@inproceedings{ShashankaM2007nips,
	author="M. Shashanka and B. Raj and P. Smaragdis",
	title="Sparse Overcomplete Latent Variable Decomposition of Counts Data",
	booktitle=nips,
	volume=20,
	year=2008
}

@inproceedings{ShashuaA2005icml,
	author="A. Shashua and T. Hazan",
	title="Non-Negative Tensor Factorization with Applications to Statistics and Computer Vision",
	booktitle=icml,
	address="Bonn, Germany",
	year=2005
}

@inproceedings{ShashuaA2005iccv,
	author="T. Hazan and S. Polak and A. Shashua",
	title="Sparse Image Coding Using a {3D} Non-Negative Tensor Factorization",
	booktitle=iccv,
	address="Beijing, China",
	year=2005
}

@inproceedings{ShashuaA2006eccv,
	author="A. Shashua and R. Zass and T. Hazan",
	title="Multi-Way Clustering Using Super-Symmetric Non-Negative Tensor Factorization",
	booktitle=eccv,
	address="Graz, Austria",
	year=2006
}

@book{ShaweTaylor2004book,
	author="J. {Shawe-Taylor} and N. Cristianini",
	title="Kernel Methods for Pattern Analysis",
	publisher="Cambridge University Press",
	year=2004
}

@article{ShenL2006cbc,
	author="L. Shen and E. C. Tan",
	title="Reducing Multiclass Cancer Classification to Binary by Output Coding and {SVM}",
	pages="63--71",
	journal="Computational Biology and Chemistry",
	volume=30,
	number=1,
	year=2006
}

@article{ShenX99ieeetsap,
	author="X. Shen and L. Deng",
	title="A Dynamic System Approach to Speech Enhancement Using the {$\mathrm{H}_{\infty}$} Filtering Algorithm",
	pages="391--399",
	journal=ieeetsap,
	volume=7,
	number=4,
	year=1999
}

@inproceedings{ShenY2005nips,
	author="Y. Shen and A. Y. Ng and M. Seeger",
	title="Fast {Gaussian} Process Regression using {KD}-Trees",
	booktitle=nips,
	volume=18,
	year=2006
}

@article{ShepardRN62psy_a,
	author="R. N. Shepard",
	title="The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. {I}",
	pages="125--140",
	journal="Psychometrika",
	volume=27,
	number=2,
	year=1962
}

@article{ShepardRN62psy_b,
	author="R. N. Shepard",
	title="The Analysis of Proximities: Multidimensional Scaling with an Unknown Distance Function. {II}",
	pages="219--246",
	journal="Psychometrika",
	volume=27,
	number=3,
	year=1962
}

@inproceedings{ShiJ97cvpr,
	author="J. Shi and J. Malik",
	title="Normalized Cuts and Image Segmentation",
	pages="731--737",
	booktitle=cvpr,
	year=1997
}

@article{ShiJ2000ieeetpami,
	author="J. Shi and J. Malik",
	title="Normalized Cuts and Image Segmentation",
	pages="888--905",
	journal=ieeetpami,
	volume=22,
	number=8,
	year=2000
}

@inproceedings{ShiehAD2011icml,
	author="A. D. Shieh and T. B. Hashimoto and E. M. Airoldi",
	title="Tree Preserving Embedding",
	booktitle=icml,
	address="Bellevue, WA",
	year=2011
}

@article{ShimodairaH2000jspi,
	author="H. Shimodaira",
	title="Improving Predictive Inference under Covariate Shift by Weighting the Log-Likelihood Function",
	pages="227--244",
	journal="Journal of Statistical Planning and Inference",
	volume=90,
	issue=2,
	year=2000
}

@inproceedings{ShinH2006ecml,
	author="H. Shin and J. Hill and G. R{\"a}tsch",
	title="Graph Based Semi-Supervised Learning with Sharper Edges",
	pages="401--412",
	booktitle=ecml,
	year=2006
}

@inproceedings{ShonAP2005nips,
	author="A. P. Shon and K. Grochow and A. Hertzmann and R. P. N. Rao",
	title="Learning Shared Latent Structure for Image Synthesis and Robotic Imitation",
	booktitle=nips,
	volume=17,
	year=2006
}

@inproceedings{ShrivastavaA2014nips,
	author="A. Shrivastava and P. Li",
	title="Asymmetric {LSH (ALSH)} for Sublinear Time Maximum Inner Product Search {(MIPS)}",
	booktitle=nips,
	volume=27,
	year=2014
}

@article{ShumHY95ieeetpami,
	author="H. Y. Shum and K. Ikeuchi and R. Reddy",
	title="Principal Component Analysis with Missing Data and its Application to Polyhedral Object Modeling",
	pages="855--867",
	journal=ieeetpami,
	volume=17,
	number=9,
	year=1995
}

@article{Shynk96ieeetsp,
	author="J. J. Shynk and R. P. Gooch",
	title="The Constant Modulus Arrary for Cochannel Signal Copy and Direction Finding",
	pages="652--660",
	journal=ieeetsp,
	volume=44,
	year=1996
}

@inproceedings{Silva91,
	author="F. M. Silva and L. B. Almeida",
	title="A Distributed Solution for Data Orthonormalization",
	pages="943--948",
	booktitle=icann,
	volume=1,
	year=1991
}

@inproceedings{deSilvaV2002nips,
	author="V. {de Silva} and J. B. Tenenbaum",
	title="Global versus Local Methods in Nonlinear Dimensionality Reduction",
	pages="705--712",
	booktitle=nips,
	volume=15,
	year=2003
}

@techreport{deSilvaV2004tr,
	author="V. {de Silva} and J. B. Tenenbaum",
	title="Sparse Multidimensional Scaling Using Landmark Points",
	institution="Stanford University",
	year=2004
}

@article{SilvermanBW85jrss,
	author="B. W. Silverman",
	title="Some Aspects of the Spline Smoothing Approach to Non-parametric Regression Curve Fitting",
	pages="1--52",
	journal="Journal of the Royal Statistical Society",
	volume=47,
	year=1985
}

@article{SimT2003ieeetpami,
	author="T. Sim and S. Baker and M. Bsat",
	title="The {CMU} Pose, Illumination, and Expression Database",
	pages="1615--1618",
	journal=ieeetpami,
	volume=25,
	number=12,
	year=2003
}

@inproceedings{SinghAP2008kdd,
	author="A. P. Singh and G. J. Gordon",
	title="Relational Learning via Collective Matrix Factorization",
	booktitle=kdd,
	address="Las Vegas, Nevada",
	year=2008
}

@inproceedings{SinghAP2010uai,
	author="A. P. Singh and G. J. Gordon",
	title="A {Bayesian} Matrix Factorization Model for Relational Data",
	booktitle=uai,
	address="Catalina Island, CA",
	year=2010
}

@inproceedings{SinhaP2008civr,
	author="P. Sinha and R. Jaini",
	title="Classification and Annotation of Digital Photos Using Optical Context Data",
	booktitle="Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR)",
	address="Niagara Falls, Canada",
	year=2008
}

@inproceedings{SinhaP2008icsc,
	author="P. Sinha and R. Jaini",
	title="Semantics In Digital Photos: A Contenxtual Analysis",
	booktitle="Proceesings of the IEEE International Conference on Semantic Computing",
	address="Santa Clara, CA",
	year=2008
}

@article{Sirovich87josaa,
	author="L. Sirovich and M. Kirby",
	title="Low-dimensional Procedure for the Charaterization of Human Faces",
	pages="519--524",
	journal=josaa,
	volume=4,
	number=3,
	year=1987
}

@inproceedings{Slock94icassp,
	author="D. T. M. Slock",
	title="Blind Fractionally-spaced Equalization, Perfect-reconstruction Filter Banks and Multichannel Linear Prediction",
	pages="585--588",
	booktitle=icassp,
	year=1994
}

@inproceedings{Slock95icassp,
	author="D. T. M. Slock and C. B. Papadias",
	title="Further Results on Blind Identification and Equalization of Multipath {FIR} Channels",
	pages="1964--1967",
	booktitle=icassp,
	year=1995
}

@article{Smaragdis98neurocomp,
	author="P. Smaragdis",
	title="Blind Separation of Convolved Mixtures in the Frequency Domain",
	journal="Neurocomputing",
	pages="21--34",
	volume=22,
	year=1998
}

@inproceedings{SmaragdisP98tenerife,
	author="P. Smaragdis",
	title="Blind Separation of Convolved Sound Mixtures in the Frequency Domain",
	booktitle=tenerife,
	address="Tenerife, Spain",
	year=1998
}

@mastersthesis{SmaragdisP97master,
	author="P. Smaragdis",
	title="Information-theoretic Approaches to Source Separation",
	school="Massachusetts Institute of Technology",
	year=1997
}

@inproceedings{SmaragdisP2003waspaa,
	author="P. Smaragdis and J. C. Brown",
	title="Non-Negative Matrix Factorization for Polyphonic Music Transcription",
	pages="177--180",
	booktitle="Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",
	address="New Paltz, NY",
	year=2003
}

@inproceedings{SmaragdisP2004ica,
	author="P. Smaragdis",
	title="Non-Negative Matrix Factor Deconvolution: Extraction of Multiple Sound Sources from Monophonic Inputs",
	pages="494--499",
	booktitle="Proceedings of International Conference on Independent Component Analysis and Blind Signal Separation",
	address="Granada, Spain",
	year=2004
}

@inproceedings{SmaragdisP2004sapa,
	author="P. Smaragdis",
	title="Discovering Auditory Objects Through Non-Negativity Constraints",
	booktitle="Statistical and Perceptual Audio Processing",
	address="Jeju Island, Korea",
	year=2004
}

@inproceedings{SmaragdisP2007ica,
	author="P. Smaragdis and B. Raj and M. Shashanka",
	title="Supervised and Semi-Supervised Separation of Sounds from Single-Channel Mixtures",
	booktitle=ica,
	address="London, UK",
	year=2007
}

@article{SmeuldersAWM2000ieeetpami,
	author="A. W. M. Smeulders and M. Worring and S. Santini and A. Gupta and R. Jain",
	title="Content-Based Image Retrieval at the End of the Early Years",
	pages="1349--1380",
	journal=ieeetpami,
	volume=22,
	number=12,
	year=2000
}

@article{SmithMS2012jasa,
	author="M. S. Smith and M. A. Khaled",
	title="Estimation of Copula Models with Discrete Margins via {Bayesian} Data Augmentation",
	pages="290--303",
	journal=jasa,
	volume=107,
	number=497,
	year=2012
}

@incollection{SmithMS2013bookchap,
	author="M. S. Smith",
	title="Bayesian Approaches to Copula Modeling",
	editor="P. Damien and P. Dellaportas and N. G. Polson and D. A. Stephens",
	booktitle="Bayesian Theory and Applications",
	publisher="Oxford University Press",
	year=2013
}

@phdthesis{SmithST93phd,
	author="S. T. Smith",
	title="Geometric Optimization Methods for Adaptive Filtering",
	school="Harvard University",
	year=1993
}

@inproceedings{SmolaAJ2000neurips,
	author="A. J. Smola and P. Bartlett",
	title="Sparse Greedy {Gaussian} Process Regression",
	booktitle=neurips,
	volume=13,
	year=2000,
	address=venue-neurips-2000
}

@article{SnavelyN2006siggraph,
	author="N. Snavely and S. M. Seitz and R. Szeliski",
	title="Photo Tourism: Exploring Photo Collections in {3D}",
	pages="835--846",
	journal="ACM Transactions on Graphics (SIGGRAPH Proceedings)",
	volume=25,
	year=2006
}

@inproceedings{SnelsonE2005nips,
	author="E. Snelson and Z. Ghahramani",
	title="Sparse {Gaussian} Processes Using Pseudo-Inputs",
	booktitle=nips,
	volume=18,
	year=2006
}

@inproceedings{SnelsonE2007aistats,
	author="E. Snelson and Z. Ghahramani",
	title="Local and Global Sparse {Gaussian} Process Approximataions",
	booktitle=aistats,
	year=2007,
	address=venue-aistats-2007
}

@inproceedings{SnoekJ2012neurips,
	author="J. Snoek and H. Larochelle and R. P. Adams",
	title="Practical {Bayesian} Optimization of Machine Learning Algorithms",
	booktitle=neurips,
	volume=25,
	year=2012,
	pages="2951--2959",
	address=venue-neurips-2012
}

@inproceedings{SohnK2015nips,
	author="K. Sohn and X. Yan and H. Lee",
	title="Learning Structured Output Representation using Deep Conditional Generative Models",
	booktitle=nips,
	volume=28,
	year=2015
}

@inproceedings{SongL2007icml,
	author="L. Song and A. Smola and A. Gretton and K. M. Borgwardt",
	title="A Dependence Maximization View of Clustering",
	booktitle=icml,
	address="Corvallis, Oregon",
	year=2007
}

@inproceedings{Souloumiac95icassp,
	author="A. Souloumiac",
	title="Blind Source Detection and Separation Using Second Order Non-stationarity",
	pages="1912--1915",
	booktitle=icassp,
	year=1995
}

@inproceedings{SpielmanDA2004stoc,
	author="D. A. Spielman and S. H. Teng",
	title="Nearly-Linear Time Algorithms for Graph Partitioning, Graph Sparsification, and Solving Linear Systems",
	pages="81--90",
	booktitle=stoc,
	year=2004
}

@inproceedings{SrebroN2003icml,
	author="N. Srebro and T. Jaakkola",
	title="Weighted Low-Rank Approximation",
	booktitle=icml,
	address="Washington DC",
	year=2003
}

@inproceedings{SrebroN2004nips,
	author="N. Srebro and J. D. M. Rennie and T. Jaakkola",
	title="Maximum-Margin Matrix Factorization",
	booktitle=nips,
	volume=17,
	publisher="MIT Press",
	year=2005
}

@inproceedings{SrebroN2005colt,
	author="N. Srebro and A. Shraibman",
	title="Rank, Trace-Norm and Max-Norm",
	booktitle=colt,
	address="Bertinoro, Italy",
	year=2005
}

@inproceedings{SrinivasN2010icml,
	author="N. Srinivas and A. Krause and S. Kakade and M. Seeger",
	title="{Gaussian} Process Optimization in the Bandit Setting: No Regret and Experimental Design",
	booktitle=icml,
	pages="1015--1022",
	year=2010,
	address=venue-icml-2010
}

@article{SrivastavaN2014jmlr,
	author="N. Srivastava and G. Hinton and A. Krizhevsky and I. Sutskever and R. Salakhutdinov",
	title="Dropout: A Simple Way to Prevent Neural Networks from Overfitting",
	pages="1929--1958",
	journal=jmlr,
	volume=15,
	year=2014
}

@book{Stark94,
	author="H. Stark and J. W. Woods",
	title="Probability, Random Processes, and Estimation Theory for Engineers",
	publisher="Prentice-Hall",
	address="Englewood Cliffs, NJ, USA",
	year=1994
}

@inproceedings{SteckH2010kdd,
	author="H. Steck",
	title="Training and Testing of Recommender Systems on Data Missing Not at Random",
	booktitle=kdd,
	address="Washington, DC, USA",
	year=2010
}

@inproceedings{SteckH2013recsys,
	author="H. Steck",
	title="Evaluation of Recommendations: Rating-Prediction and Ranking",
	booktitle=recsys,
	address="Hong Kong, China",
	year=2013
}

@inproceedings{SteinbachM00kddwtm,
	author="M. Steinbach and G. Karypis and V. Kumar",
	title="A comparison of document clustering techniques",
	booktitle="Proceedings of the KDD Workshop on Text Mining",
	address="Boston, MA, USA",
	year=2000
}

@inproceedings{SternD2009www,
	author="D. Stern and R. Herbrich and R. Herbrich",
	title="Matchbox: Large Scale Online {Bayesian} Recommendations",
	pages="111--120",
	booktitle=www,
	year=2009
}

@article{Stetter2000neuroimage,
	author="M. Stetter and I. Schiessl and T. Otto and F. Sengpiel and M. H{\"u}bener and T. Bonhoeffer and K. Obermayer",
	title="Principal Component Analysis and Blind Separation of Sources for Optical Imaging of Intrinsic Signals",
	journal="Neuroimage",
	year="2000, in press"
}

@article{Stiefel,
	author="E. Stiefel",
	title="Richtungsfelder und Fernparallelismus in n-Dimensionalem Mannig Faltigkeiten",
	pages="305--353",
	journal="Commentarii Math. Helvetici",
	volume=8,
	year="1935-1936"
}

@inproceedings{SteinwartI2003nips,
	author="I. Steinwart",
	title="Sparseness of Support Vector Machines - Some Asymtotically Sharp Bounds",
	booktitle=nips,
	volume=16,
	year=2004
}

@book{StewartGW2001book,
	author="G. W. Stewart",
	title="Matrix Algorithms: Volume 2, Eigensystems",
	publisher="SIAM",
	year=2001
}

@inproceedings{StikicM2009loca,
	author="M. Stikic and B. Schiele",
	title="Activity Recognition from Sparsely Labeled Data using Multi-Instance Learning",
	pages="156--173",
	booktitle="Location and Context Awareness LNCS",
	volume=5561,
	publisher="Springer",
	year=2009
}

@article{StoneJV2002ni,
	author="J. V. Stone and J. Porrill and N. R. Porter and I. W. Wilkinson",
	title="Spatiotemporal Independent Component Analysis of Event-Related fMRI Data Using Skewed Probability Density Functions",
	pages="407--421",
	journal="NeuroImage",
	volume=15,
	number=2,
	year=2002
}

@book{StoneJV2004book,
	author="J. V. Stone",
	title="Independent Component Analysis: A Tutorial Introduction",
	publisher="MIT Press",
	year=2004
}

@article{StrehlA2002jmlr,
	author="A. Strehl and J. Ghosh",
	title="Cluster Ensembles - A Knowledge Reuse Framework for Combining Multiple Partitions",
	journal=jmlr,
	pages="583--617",
	volume=3,
	year=2002
}

@book{Stuart,
	author="A. Stuart and J. K. Ord",
	title="Kendall's Advanced Theory of Statistics",
	publisher="Edward Arnold",
	year=1994
}

@inproceedings{SudderthEB2008nips,
	author="E. B. Sudderth and M. I. Jordan",
	title="Shared Segmentation of Natural Scences Using Depdendent {Pitman-Yor} Processes",
	booktitle=nips,
	volume=21,
	publisher="MIT Press",
	year=2009
}

@inproceedings{SugiyamaM2006icml,
	author="M. Sugiyama",
	title="Local {Fisher} Discriminant Analysis for Supervised Dimensionality Reduction",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@article{SugiyamaM2007jmlr,
	author="M. Sugiyama",
	title="Dimensionality Reduction of Multimodal Labeled Data by Local {Fisher} Discriminant Analysis",
	pages="1027--1061",
	journal=jmlr,
	volume=5,
	year=2007
}

@article{SugiyamaM2008ieice,
	author="M. Sugiyama",
	title="On Computational Issues of Semi-Supervised Local {Fisher} Discriminant Analysis",
	pages="1204--1208",
	journal="IEICE Transactions on Information and Systems",
	year=2008
}

@misc{SuHSW2016arxiv,
	author="S. Suh and S. Choi",
	title="Gaussian copula variational autoencoders for mixed data",
	note="{\em Preprint arXiv:1604.04960}",
	year=2016
}

@inproceedings{SuiY2015icml,
	author="Y. Sui and A. Gotovos and J. W. Burdick and A. Krause",
	title="Safe Exploration for Optimization with {Gaussian} Processes",
	booktitle=icml,
	pages="997--1005",
	address="Lille, France",
	year=2015
}

@article{SukHI2013ieeetpami,
	author="H.{-I.} Suk and S.{-H.} Lee",
	title="A Novel {Bayesian} Framework for Discriminative Feature Extraction in Brain-Computer Interfaces",
	pages="286--299",
	journal=ieeetpami,
	volume=35,
	number=2,
	year=2013
}

@article{SumathiT2011ijrris,
	author="T. Sumathi and C. {Lakshmi Devasena} and M. Hemalatha",
	title="An Overview of Automated Image Annotation Approaches",
	pages="1--6",
	journal="International Journal of Research and Reviews in Information Sciences",
	volume=1,
	number=1,
	year=2011
}

@inproceedings{SunJ2005siggraph,
	author="J. Sun and L. Yuan and J. Jia and H. Y. Shum",
	title="Image Completion with Structure Propagation",
	booktitle=siggraph,
	year=2005
}

@inproceedings{SunJ2007sdm,
	author="J. Sun and Y. Xie and H. Zhang and C. Faloutsos",
	title="Lee is More: Compact Matrix Decomposition for Large Sparse Graphs",
	booktitle=sdm,
	year=2007
}

@article{SunL2011ieeetpami,
	author="L. Sun and S. Ji and J. Ye",
	title="Canonical Correlation Analysis for Multilabel Classification: A Least Squares Formulation, Extension, and Analysis",
	pages="194--200",
	journal=ieeetpami,
	volume=33,
	number=1,
	year=2011
}

@article{SundararajanS2001nc,
	author="S. Sundararajan and S. S. Keerthi",
	title="Predictive Approaches for Choosing Hyperparameters in {Gaussian} Processes",
	pages="1103--1118",
	journal=nc,
	volume=13,
	year=2001
}

@book{SuykensJAK2002book,
	author="J. A. K. Suykens and T. {Van Gestel} and J. {De Brabanter} and B. {De Moor} and J. Vandewalle",
	title="Least Squares Support Vector Machines",
	publisher="World Scientific",
	year=2002
}

@inproceedings{SwerskyK2012nips,
	author="K. Swersky and D. Tarlow and I. Sutskever and R. Salakhutdinov and R. S. Zemel and R. P. Adams",
	title="Cardinality Restricted {Boltzmann} Machines",
	booktitle=nips,
	volume=25,
	year=2012
}

@inproceedings{SwerskyK2013neurips,
	author="K. Swersky and J. Snoek and R. P. Adams",
	title="Multi-Task {Bayesian} Optimization",
	booktitle=neurips,
	volume=26,
	year=2013,
	pages="2004--2012",
	address=venue-neurips-2013
}

@article{SzeliskiR2007ieeetpami,
	author="R. Szeliski and R. Zabih and D. Scharstein and O. Veksler and V. Kolmogorov and A. Agarwala and M. Tappen and C. Rother",
	title="A Comparative Study of Energy Minimization Methods for {Markov} Random Fields with Smoothness-Based Priors",
	pages="1068--1080",
	journal=ieeetpami,
	volume=28,
	year=2007
}

@inproceedings{SzummerM2001nips,
	author="M. Szummer and T. Jaakkola",
	title="Partially Labeled Classification with {Markov} Random Walks",
	booktitle=nips,
	volume=14,
	year=2002
}

@inproceedings{TaiF2010mld,
	author="F. Tai and H. -T. Lin",
	title="Multi-Label Classification with Principal Label Space Transformation",
	booktitle="Proceedings of the Second International Workshop on Learning from Multi-Label Data",
	address="Haifa, Israel",
	year=2010
}

@article{TaiF2012nc,
	author="F. Tai and H. -T. Lin",
	title="Multi-Label Classification with Principal Label Space Transformation",
	pages="2508--2542",
	journal=nc,
	volume=24,
	number=9,
	year=2012
}

@article{TakacsG2009jmlr,
	author="G. Tak{\'a}cs and I. Pil{\'a}szy and B. N{\'e}meth and D. Tikk",
	title="Scalable Collaborative Filtering Approaches for Large Recommender Systems",
	pages="623--656",
	journal=jmlr,
	volume=10,
	year=2009
}

@article{TakenouchiT2009nc,
	author="T. Takenouchi and S. Ishii",
	title="A Multiclass Classification Method based on Decoding of Binary Classifiers",
	pages="2049--2081",
	journal=nc,
	volume=21,
	number=7,
	year=2009
}

@book{TaoT2012book,
	author="T. Tao",
	title="Topics in Random Matrix Theory",
	publisher="American Mathematical Society",
	year=2012
}

@inproceedings{TaskarB2003nips,
	author="B. Taskar and C. Guestrin and D. Koller",
	title="Max-Margin {Markov} Networks",
	booktitle=nips,
	volume=16,
	year=2004
}

@article{Tawlar94ieeespl,
	author="S. Tawlar and M. Viberg and A. Paularj",
	title="Blind Estimation of Multiple Co-Channel Digital Signals Using an Antenna Array",
	journal=ieeespl,
	volume=1,
	number=2,
	month="Feb.",
	year=1994
}

@inproceedings{TaylorGW2009icml,
	author="G. W. Taylor and G. E. Hinton",
	title="Factored Conditional Restricted {Boltzmann} Machines for Modeling Motion Style",
	booktitle=icml,
	address="Montreal, Canada",
	year=2009
}

@article{TaylorGW2011jmlr,
	author="G. W. Taylor and G. E. Hinton and S. T. Roweis",
	title="Two Distributed-State Models For Generating High-Dimensional Time Series",
	pages="1025--1068",
	journal=jmlr,
	volume=12,
	year=2011
}

@inproceedings{TehYW2002nips,
	author="Y. W. Teh and S. Roweis",
	title="Automatic Allignment of Local Representations",
	booktitle=nips,
	volume=15,
	year=2003
}

@inproceedings{TehYW2006acl,
	author="Y. W. Teh",
	title="A Hierarchical {Bayesian} Language Model based on {Pitman-Yor} Processes",
	booktitle="Proceedings of Coling/ACL",
	year=2006
}

@article{TehYW2006jasa,
	author="Y. W. Teh and M. I. Jordan and M. J. Beal and D. M. Blei",
	title="Hierarchical {Dirichlet} Processes",
	pages="1566--1581",
	journal=jasa,
	volume=101,
	number=476,
	year=2006
}

@inproceedings{TehYW2007aistats,
	author="Y. W. Teh and D. {G\"or\"ur} and Z. Ghahramani",
	title="Stick-Breaking Construction for the {Indian} Buffet Process",
	booktitle=aistats,
	address="San Juan, Puerto Rico",
	year=2007
}

@misc{TehYW2012note,
	author="Y. W. Teh",
	title="{Bayesian} Nonparametric Rought Notes",
	year=2012
}

@inproceedings{TelgarskyM2012icml,
	author="M. Telgarsky and S. Dasgupta",
	title="Agglomerative {Bregman} Clustering",
	booktitle=icml,
	address="Edinburgh, Scotland, UK",
	year=2012
}

@inproceedings{TenenbaumJB97nips,
	author="J. B. Tenenbaum",
	title="Mapping a Manifold of Perceptual Observations",
	pages="682--688",
	booktitle=nips,
	volume=10,
	year=1998
}

@article{TenenbaumJB2000science,
	author="J. B. Tenenbaum and V. de Silva and J. C. Langford",
	title="A Global Geometric Framework for Nonlinear Dimensionality Reduction",
	pages="2319--2323",
	journal="Science",
	volume=290,
	year=2000
}

@article{TerveenL97cacm,
	author="L. Terveen and W. Hill and B. Amento and D. McDonald and J. Creter",
	title="{PHOAKS}: A System for Sharing Recommendations",
	pages="59--62",
	journal=cacm,
	volume=40,
	number=3,
	year=1997
}

@inproceedings{Tessier99icsp,
	author="E. Tessier and F. Berthommier and H. Glotin and S. Choi",
	title="A Model of Source Segregation Using the Localization Cue for Robust Cocktail-Party Speech Recognition",
	pages="97--102",
	booktitle=icsp,
	year=1999
}

@article{Thi95sp,
	author="H. -L. N. Thi and C. Jutten",
	title="Blind Source Separation for Concolutive Mixtures",
	journal=sp,
	volume=45,
	number=2,
	year=1995
}

@book{ThrunS98book,
	author="S. Thrun and L. Pratt",
	title="Learning to Learn",
	publisher="Kluwer Academic Publishers",
	year=1998
}

@article{TibshiraniR1996jrssb,
	author="R. Tibshirani",
	title="Regression Shrinkage and Selection via the {Lasso}",
	pages="267--288",
	journal=jrssb,
	volume=58,
	number=1,
	year=1996
}

@article{TibshiraniR2001jrssb,
	author="R. Tibshirani and G. Walther and T. Hastie",
	title="Estimating the Number of Clusters in a Data Set via the Gap Statistic",
	pages="411--423",
	journal=jrssb,
	volume=63,
	number=2,
	year=2001
}

@article{TichavskyP98ieeetsp,
	author="P. Tichavsky and C. H. Muravchik and A. Nehorai",
	title="Posterior {Cram{\'e}r-Rao} Bounds for Discrete-Time Nonlinear Filtering",
	pages="1386--1395",
	journal=ieeetsp,
	volume=46,
	number=5,
	year=1998
}

@article{TierneyL94as,
	author="L. Tierney",
	title="Markov Chains for Exploring Posterior Distributions",
	pages="1701--1762",
	journal="Annals of Statistics",
	volume=22,
	year=1994
}

@article{TippingME99jrssb,
	author="M. E. Tipping and C. M. Bishop",
	title="Probabilistic Principal Component Analysis",
	journal=jrssb,
	pages="611--622",
	volume=61,
	number=3,
	year=1999
}

@article{TippingME99nc,
	author="M. E. Tipping and C. M. Bishop",
	title="Mixtures of Probabilistic Principal Component Analyzers",
	pages="443--482",
	journal=nc,
	volume=11,
	number=2,
	year=1999
}

@article{TippingME2001jmlr,
	author="M. E. Tipping",
	title="Sparse {Bayesian} Learning and the Relevance Vector Machine",
	pages="211--244",
	journal=jmlr,
	volume=1,
	year=2001
}

@inproceedings{TippingME2003aistats,
	author="M. E. Tipping and A. Faul",
	title="Fast Marginal Likelihood Maximisation for Sparse {Bayesian} Models",
	booktitle=aistats,
	year=2003
}

@inproceedings{TitsiasMK2009aistats,
	author="M. K. Titsias",
	title="Variational Learning of Inducing Variables in Sparse {Gaussian} Processes",
	booktitle=aistats,
	address="Clearwater Beach, Florida, USA",
	year=2009
}

@article{TitteringtonDM84jrss,
	author="D. M. Titterington",
	title="Recursive Parameter Estimation Using Incomplete Data",
	pages="257--267",
	journal="Journal of the Royal Statistical Society",
	volume=46,
	year=1984
}

@inproceedings{TomiokaR2006nips,
	author="R. Tomioka and K. Aihara and K. -R. {M\"{u}ller}",
	title="Logistic Regression for Single Trial {EEG} Classification",
	booktitle=nips,
	volume=19,
	publisher="MIT Press",
	year=2007
}

@inproceedings{TomiokaR2007icml,
	author="R. Tomioka and K. Aihara",
	title="Classifying Matrices with a Spectral Regularization",
	booktitle=icml,
	address="Corvallis, Oregon",
	year=2007
}

@article{TongH2006ejasp,
	author="H. Tong and J. He and M. Li and W.-Y. Ma and H.-J. Zhang and C. Zhang",
	title="Manifold-Ranking-Based Keyword Propagation for Image Retrieval",
	journal="EURASIP Journal on Applied Signal Processing",
	year=2006
}

@inproceedings{TongL90iscas,
	author="L. Tong and V. C. Soon and Y. F. Huang and R. Liu",
	title="{AMUSE:} A New Blind Identification Alogrithm",
	pages="1784--1787",
	booktitle=iscas,
	year=1990
}


@article{TongL91ieeecas,
	author="L. Tong and V. Soon and Y. F. Huang and R. Liu",
	title="Indeterminacy and Identifiability of Blind Identification",
	pages="499--509",
	journal=ieeetcas,
	volume=38,
	month="May",
	year=1991
}

@article{TongL92ieeetsp,
	author="L. Tong and Y. Inouye and R. Liu",
	title="A Finite-step Global Convergence Algorithm for the Parameter Estimation of Multichannel {MA} Processes",
	pages="2547--2558",
	journal=ieeetsp,
	volume=40,
	number=10,
	month="Oct.",
	year=1992
}

@article{TongL93ieeetsp,
	author="L. Tong and Y. Inouye and R. Liu",
	title="Waveform-preserving Blind Estimation of Multiple Independent Sources",
	pages="2461--2470",
	journal=ieeetsp,
	volume=41,
	number=7,
	month="July",
	year=1993
}

@article{TongL94ieeetit,
	author="L. Tong and G. Xu and T. Kailath",
	title="Blind Identification and Equalization Based on Second-order Statistics: A Time Domain Approach",
	pages="340--349",
	journal=ieeetit,
	volume=40,
	number=2,
	month="Mar.",
	year=1994
}

@article{Tong95Lieeetit,
	author="L. Tong and G. Xu and B. Hassibi and T. Kailath",
	title="Blind Channel Identification and Equalization Using Second-order Statistics: A Frequency-Domain Approach",
	pages="329--334",
	journal=ieeetit,
	volume=41,
	number=1,
	month="Jan.",
	year=1995
}

@inproceedings{Torkkola96icassp,
	author="K. Torkkola",
	title="Blind Separation of Delayed Sources Based on Information Maximization",
	booktitle=icassp,
	year=1996
}

@inproceedings{Torkkola96nnsp,
	author="K. Torkkola",
	title="Blind Separation of Convolved Sources Based on Information Maximization",
	pages="423--432",
	booktitle=nnsp,
	year=1996
}

@inproceedings{Torkkola99ica,
	author="K. Torkkola",
	title="Blind Separation for Audio Signals - Are We There Yet?",
	booktitle="Proceedings of ICA",
	address="Aussois, France",
	year=1999
}


@inproceedings{Torkkola2000icml,
	author="K. Torkkola and W. M. Campbell",
	title="Mutual Information in Learning Feature Transformations",
	pages="1015--1022",
	booktitle="Proceedings of International Conference on Machine Learning",
	year=2000
}

@inproceedings{TorralbaA2008cvpr,
	author="A. Torralba and R. Fergus and Y. Weiss",
	title="Small Codes and Large Image Databases for Recognition",
	booktitle=cvpr,
	address="Anchorage, Alaska",
	year=2008
}

@article{TorralbaA2008ieeetpami,
	author="A. Torralba and R. Fergus and W. T. Freeman",
	title="80 Million Tiny Images: A Large Dataset for Non-Parametric Object and Scene Recognition",
	pages="1958--1970",
	journal=ieeetpami,
	volume=30,
	number=11,
	year=2008
}

@article{Touzni98ieeetsp,
	author="A. Touzni and I. Fijalkow and M. G. Larimore and J. R. Treichler",
	title="A Globally Convergent Approach for Blind {MIMO} Adaptive Deconvolution",
	year="submitted for publication"
}


@inproceedings{Touzni98icassp,
	author="A. Touzni and I. Fijalkow and M. G. Larimore and J. R. Treichler",
	title="A Globally Convergent Approach for Blind {MIMO} Adaptive Deconvolution",
	pages="2385--2388",
	booktitle=icassp,
	year=1998
}

@article{TownsendG2004ieeetrehab,
	author="G. Townsend and B. Grainmann and G. Pfurtscheller",
	title="Continuous {EEG} Classification During Motor Imagery: Simulation of an Asychronous {BCI}",
	pages="258--265",
	journal=ieeetrehab,
	volume=12,
	number=2,
	year=2004
}

@inproceedings{TranD2015nips,
	author="D. Tran and D. M. Blei and E. M. Airoldi",
	title="Copula Variational Inference",
	booktitle=nips,
	volume=28,
	year=2015
}

@article{Treichler83ieeetassp,
	author="J. R. Treichler and B. G. Agee",
	title="A New Approach to Multipath Correction of Constant Modulus Signals",
	pages="459--472",
	journal=ieeetassp,
	volume=31,
	year=1983
}

@article{TrespV2000nc,
	author="V. Tresp",
	title="A {Bayesian} Committee Machine",
	pages="2719--2741",
	journal=nc,
	volume=12,
	number=11,
	year=2000
}

@inproceedings{TrespV2000nips,
	author="V. Tresp",
	title="Mixture of {Gaussian} Processes",
	booktitle=nips,
	volume=13,
	year=2001
}

@article{TroppJA2006sp_a,
	author="J. A. Tropp and A. C. Gilbert and M. J. Strauss",
	title="Algorithms for Simultaneous Sparse Approximation {Part I}: Greedy Pursuit",
	pages="572--588",
	journal=sp,
	volume=86,
	number=3,
	year=2006,
}

@article{TroppJA2006sp_b,
	author="J. A. Tropp",
	title="Algorithms for Simultaneous Sparse Approximation {Part II}: Convex Relaxation",
	pages="589--602",
	journal=sp,
	volume=86,
	number=3,
	year=2006,
}

@article{TroppJA2006ieeetit,
	author="J. A. Tropp",
	title="Just Relax: Convex Programming Methods for Identifying Sparse Signals in Noise",
	pages="1030--1051",
	journal=ieeetit,
	volume=52,
	number=3,
	year=2006,
}

@article{TroppJA2007ieeetit,
	author="J. A. Tropp and A. C. Gilbert",
	title="Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit",
	pages="4655--4666",
	journal=ieeetit,
	volume=53,
	number=12,
	year=2007
}

@article{TsaiCF2012isrnai,
	author="C. -F. Tsai",
	title="Bag-of-Words Representation in Image Annotation: A Review",
	journal="ISRN Artificial Intelligence",
	year=2012
}

@inproceedings{TsochantaridisI2004icml,
	author="I. Tsochantaridis and T. Joachims and T. Hofmann and Y. Altun",
	title="Support Vector Machine Learning for Interdependent and Structured Output Spaces",
	booktitle=icml,
	address="Banff, Canada",
	year=2004
}

@article{TsochantaridisI2005jmlr,
	author="I. Tsochantaridis and T. Joachims and T. Hofmann and Y. Altun",
	title="Large Margin Methods for Structured and Interdependent Output Variables",
	pages="1453--1484",
	journal=jmlr,
	volume=6,
	year=2005
}

@article{TsoumakasG2007,
	author="G. Tsoumakas and I. Katakis",
	title="Multi-Label Classification: An Overview",
	pages="1--13",
	journal="International Journal of Data Warehousing and Mining",
	year=2007
}

@incollection{TsoumakasG2010,
	author="G. Tsoumakas and I. Katakis and I. Vlahavas",
	title="Mining Multi-Label Data",
	pages="667--685",
	editor="O. Maimon and L. Rokach",
	booktitle="Data Mining and Knowledge Discovery Handbook",
	publisher="Springer",
	year=2010
}

@article{TuckerLR66psy,
	author="L. R. Tucker",
	title="Some Mathematical Notes on Three-Mode Factor Analysis",
	pages="279--311",
	journal="Psychometrika",
	volume=31,
	year=1966
}

@article{Tugnait97janieeetsp,
	author="J. Tugnait",
	title="Blind Spatio-temporal Equalization and Impulse Response Estimation for {MIMO} Channels Using a Godard Cost Function",
	pages="268-271",
	journal=ieeetsp,
	volume=45,
	number=1,
	year=1997
}

@article{Tugnait97marieeetsp,
	author="J. Tugnait",
	title="Identification and Deconvolution of Multichannel Linear Non-Gaussian Processes Using Higher Order Statistics and Inverse Filter Criteria",
	pages="658--672",
	journal=ieeetsp,
	volume=45,
	number=3,
	year=1997
}

@article{Turk91,
	author="M. Turk and A. Pentland",
	title="Eigenfaces for Recognition",
	pages="71--86",
	journal="Journal of Cognitive Neuroscience",
	volume=3,
	number=1,
	year=1991
}

@misc{TurlachBA93,
	author="B. A. Turlach",
	title="Bandwidth Selection in Kernel Density Estimation: A Review",
	note="CORE and Institut de Statistique",
	year=1993
}

@article{TzanetakisG2001ieeetsap,
	author="G. Tzanetakis and G. Essl and P. Cook",
	title="Automatic Musical Genre Classification of Audio Signals",
	pages="293--302",
	journal=ieeetsap,
	year=2001
}

@article{TzengJ2008bmcbio,
	author="J. Tzeng and H. H. -S. Lu and W. -H. Li",
	title="Multidimensional Scaling for Large Genomic Data Sets",
	pages="1--17",
	journal="BMC Bioinformatics",
	volume=9,
	number=179,
	year=2008
}

@misc{FrankA2010uci,
	author="A. Frank and A. Asuncion",
	year=2010,
	title="{UCI} Machine Learning Repository",
	howpublished="\url{http://archive.ics.uci.edu/ml}",
	institution="University of California, Irvine, School of Information and Computer Sciences"
}

@article{UedaN98nn,
	author="N. Ueda and R. Nakano",
	title="Deterministic Annealing {EM} Algorithm",
	pages="271--282",
	journal=nn,
	volume=11,
	year=1998
}

@inproceedings{UedaN2003nips,
	author="N. Ueda and K. Saito",
	title="Parametric Mixture Models for Multi-Labeled Text",
	booktitle=nips,
	volume=16,
	year=2004
}

@article{UedaN2000neco,
	author="N. Ueda and R. Nakano and Z. Ghahramani and G. E. Hinton",
	title="{SMEM} Algorithm for Mixture Models",
	pages="2109--2128",
	journal=neco,
	volume=12,
	year=2000
}

@inproceedings{UhleC2003ica,
	author="C. Uhle and C. Dittmar and T. Sporer",
	title="Extraction of Drum Tracks from Polyphonic Music Using Independent Subspace Analysis",
	booktitle=ica,
	address="Nara, Japan",
	year=2003
}

@inproceedings{VallisO2014hotcloud,
	author="O. Vallis and J. Hochenbaum and A. Kejariwal",
	title="A Novel Technique for Long-Term Anomaly Detection in the Cloud",
	booktitle="Proceedings of the 6th USENIX Workshop on Hot Topics in Cloud Computing",
	year=2014
}

@article{VanGerven95ieeetsp,
	author="S. Van Gerven and D. Van Compernolle",
	title="Signal Separation by Symmetric Adaptive Decorrelation: Stability, Convergence, and Uniqueness",
	pages="1602--1612",
	journal=ieeetsp,
	volume=43,
	number=7,
	year=1995
}

@article{VanHateren98rssB,
	author="J. H. {van Hateren} and A. {van der Schaaf}",
	title="Independent Component Filters of Natural Images Compared with Simple Cells in Primary Visual Cortex",
	pages="359--366",
	journal="Proceedings of Royal Society of London, Series B",
	volume=265,
	year=1998
}

@book{VapnikVN98book,
	author="V. Vapnik",
	title="Statistical Learning Theory",
	publisher="John Wiley and Sons, Inc.",
	address="New York",
	year=1998
}

@inproceedings{VasilescuMAO2002eccv,
	author="M. A. O. Vasilescu and D. Terzopoulos",
	title="Multilinear Analysis of Image Ensembles: Tensor Faces",
	booktitle=eccv,
	address="Copenhagen, Denmark",
	year=2002
}

@inproceedings{VasilescuMAO2003cvpr,
	author="M. A. O. Vasilescu and D. Terzopoulos",
	title="Multilinear Subsapce Analysis of Image Ensembles",
	booktitle=cvpr,
	address="Madison, Wisconsin",
	year=2003
}

@inproceedings{VasilescuMAO2005cvpr,
	author="M. A. O. Vasilescu and D. Terzopoulos",
	title="Multilinear Independent Component Analysis",
	booktitle=cvpr,
	address="San Diego, California",
	year=2005
}

@article{VassuraM2008ieeetcbb,
	author="M. Vassura and L. Margara and P. {Di Lena} and F. Medri and P. Fariselli and R. Casadio",
	title="Reconstruction of {3D} Structures from Protein Contact Maps",
	pages="357--367",
	journal=ieeetcbb,
	volume=5,
	number=3,
	year=2008
}

@article{VavasisSA2010siamjopt,
	author="S. A. Vavasis",
	title="On the Complexity of Nonnegative Matrix Factorization",
	pages="1364--1377",
	journal="SIAM Journal on Optimization",
	volume=20,
	number=3,
	year=2010
}

@book{VaziraniVV2001book,
	author="V. V. Vazirani",
	title="Approximation Algorithms",
	publisher="Springer",
	year=2001
}

@article{VedaldiA2012ieeetpami,
	author="A. Vedaldi and A. Zisserman",
	title="Efficient Additive Kernels via Explicit Feature Maps",
	pages="480--492",
	journal=ieeetpami,
	volume=34,
	number=3,
	year=2012
}

@phdthesis{VekslerO99phd,
	author="O. Veksler",
	title="Efficient Graph-Based Energy Minimization",
	school="Cornell University",
	year=1999
}

@article{VendruscoloM97fad,
	author="M. Vendruscolo and E. Kussell and E. Domany",
	title="Recovery of Protein Structure from Cotact Maps",
	pages="295--306",
	journal="Folding and Design",
	volume=2,
	number=5,
	year=1997
}

@misc{VendruscoloM99,
	author="M. Vendruscolo and E. Domany",
	title="Protein Folding using Contact Maps",
	note="{\em Preprint arXiv:cond-mat/9901215}",
	year=1999
}

@article{VermaakJ2002ieeetsap,
	author="J. Vermaak and  C. Andrieu and A. Doucet and S. J. Godsill",
	title="Particle Methods for {Bayesian} Modeling and Enhancement of Speech Signals",
	pages="173--185",
	journal=ieeetsap,
	volume=10,
	year=2002
}

@inproceedings{VernicaR2010sigmod,
	author="R. Vernica and M. J. Carey and C. Li",
	title="Efficient Parallel Set-Similarity Joins using {MapReduce}",
	booktitle=sigmod,
	address="Indianapolis, Indiana, USA",
	year=2010
}

@inproceedings{VezhnevetsA2005graphicon,
	author="A. Vezhnevets and V. Vezhnevets",
	title="Modest {AdaBoost} - Teaching {AdaBoost} to Generalize Better",
	booktitle="Proceeding of the International Conference on Computer Graphics and Vision (GraphiCon)",
	year=2005
}

@article{VincentE2006ieeetaslp,
	author="E. Vincent and C. Fevotte and R. Gribonval",
	title="Performance Measurement in Blind Audio Source Separation",
	pages="1462--1469",
	journal=ieeetaslp,
	volume=14,
	number=4,
	year=2006
}

@inproceedings{VincentE2008icassp,
	author="E. Vincent and N. Berlin and R. Badeau",
	title="Harmonic and Inharmonic Nonnegative Matrix Factorization for Polyphonic Pitch transcription",
	booktitle=icassp,
	address="Las Vegas, NV",
	year=2008
}

@inproceedings{VincentP2002nips,
	author="P. Vincent and Y. Bengio",
	title="Manifold {Parzen} Windows",
	pages="825--832",
	booktitle=nips,
	volume=15,
	year=2003
}

@inproceedings{VincentP2008icml,
	author="P. Vincent and H. Larochelle and Y. Bengio and P.-A. Manzagol",
	title="Extracting and Composing Robust Features with Denoising Autoencoders",
	booktitle=icml,
	address="Helsinki, Finland",
	year=2008
}

@article{VincentP2010jmlr,
	author="P. Vincent and H. Larochelle and I. Lajoie and Y. Bengio and P.-A. Manzagol",
	title="Stached Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion",
	pages="3371--3408",
	journal=jmlr,
	volume=11,
	year=2010
}

@inproceedings{VinyalsO2016iclr,
	author="O. Vinyals and S. Bengio and M. Kudlur",
	title="Order Matters: Sequence to Sequence for Sets",
	booktitle=iclr,
	year=2016,
	address=venue-iclr-2016
}

@inproceedings{VinokourovA2002nips,
	author="A. Vinokourov and J. {Shawe-Taylor} and J. Cristianini",
	title="Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis",
	booktitle=nips,
	volume=15,
	publisher="MIT Press",
	year=2003
}

@inproceedings{ViolaP2005nips,
	author="P. Viola and J. Platt and C. Zhang",
	title="Multiple Instance Boosting for Object Detection",
	pages="1419--1426",
	booktitle=nips,
	volume=18,
	publisher="MIT Press",
	year=2006
}

@inproceedings{VirtanenS2012uai,
	author="S. Virtanen and Y. Jia and A. Klami and T. Darrell",
	title="Factorized Multi-Modal Topic Model",
	booktitle=uai,
	address="Catalina Island, California, USA",
	year=2012
}

@article{VirtanenTO2007ieeetaslp,
	author="T. O. Virtanen",
	title="Monaural Sound Source Separation by Non-Negative Matrix Factorization with Temporal Continuity and Sparseness Criteria",
	pages="1066--1074",
	journal=ieeetaslp,
	volume=15,
	number=3,
	year=2007
}

@techreport{VirtanenTO2007tr,
	author="T. O. Virtanen",
	title="Monaural Sound Source Separation by Perceptually Weighted Non-Negative Matrix Factorization",
	institution="Tampere University of Technology",
	year=2007
}

@article{VisserE2003speechcom,
	author="E. Visser and M. Otsuka and T. -W. Lee",
	title="A Spatio-Temporal Speech Enhancement Scheme for Robust Speech Recognition in Noisy Environments",
	pages="393--407",
	journal="Speech Communication",
	volume=41,
	year=2003
}

@inproceedings{WagstaffK2000icml,
	author="K. Wagstaff and C. Cardie",
	title="Clustering with Instance-Level Constraints",
	pages="1103--1110",
	booktitle=icml,
	year=2000
}

@inproceedings{WagstaffK2001icml,
	author="K. Wagstaff and C. Cardie and S. Rogers and S. Schroedl",
	title="Constrained K-Means Clusternig with Background Knowledge",
	pages="577--584",
	booktitle=icml,
	year=2001
}

@article{WahbaG85as,
	author="G. Wahba",
	title="A Comparison of {GCV} and {GML} for Choosing the Smoothing Parameter in the Generalized Spline Smoothing Problem",
	pages="1378--1402",
	journal="The Annals of Statistics",
	volume=13,
	year=1985
}

@book{WahbaG90book,
	author="G. Wahba",
	title="Spline Models for Observational Data",
	publisher="SIAM [Society for Industrial and Applied Mathematics]",
	year=1990
}

@inproceedings{WalderC2008icml,
	author="C. Walder and K. I. Kim and B. Sch{\"o}lkopf",
	title="Sparse Multiscale {Gaussian} Process Regression",
	booktitle=icml,
	address="Helsinki, Finland",
	year=2008
}

@article{WalkerSG2007cssc,
	author="S. G. Wallker",
	title="Sampling the {Dirichlet} Mixture Model with Slices",
	pages="45--54",
	journal="Communications in Statistics - Simulations and Computation",
	volume=36,
	issue=1,
	year=2007
}

@inproceedings{WallachHM2010aistats,
	author="H. M. Wallach and S. T. Jensen and L. Dicker and K. A. Heller",
	title="An Alternative Prior Process for Nonparametric {Bayesian} Clustering",
	booktitle=aistats,
	address="Sardinia, Italy",
	year=2010
}

@inproceedings{WanC2015aaai,
	author="C. Wan and X. Jin and G. Ding and D. Shen",
	title="Gaussian Cardinality Restricted {Boltzmann} Machines",
	booktitle=aaai,
	address="Austin, Texas, USA",
	year=2015
}

@inproceedings{WanE99eurospeech,
	author="E. Wan and R. van der Merwe",
	title="Noise-Regularized Adaptive Filtering for Speech Enhancement",
	booktitle="Proceedings of EUROSPEECH",
	year=1999
}

@inproceedings{WangC2009cvpr,
	author="C. Wang and D. M. Blei and L. {Fei-Fei}",
	title="Simultaneous Image Classification and Annotation",
	booktitle=cvpr,
	address="Miami, FL, USA",
	year=2009
}

@inproceedings{WangF2006icml,
	author="F. Wang and C. Zhang",
	title="Label Propagation through Linear Neighborhoods",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@inproceedings{WangF2008sdm,
	author="F. Wang and T. Li and C. Zhang",
	title="Semi-Supervised Clustering via Matrix Factorization",
	booktitle=sdm,
	address="Atlanta, Georgia",
	year=2008
}

@inproceedings{WangF2010sdm,
	author="F. Wang and P. Li",
	title="Efficient Nonnegative Matrix Factorization with Random Projections",
	booktitle=sdm,
	address="Columbus, Ohio",
	year=2010
}

@inproceedings{WangF2007icmla,
	author="F. Wang and X. Wang and T. Li",
	title="Efficient Label Propagation for Interactive Image Segmentation",
	pages="136--141",
	booktitle="International Conference on Machine Learning Applications (ICMLA)",
	year=2007
}

@article{WangF2008ieeetkde,
	author="F. Wang and C. Zhang",
	title="Label Propagation through Linear Neighborhoods",
	pages="55--67",
	journal=ieeetkde,
	volume=20,
	number=1,
	year=2008
}

@inproceedings{WangH2005cvpr,
	author="H. Wang and N. Ahuja",
	title="Rank-{R} Approximation of Tensors Using Image-as-Matrix Representation",
	booktitle=cvpr,
	address="San Diego, CA",
	year=2005
}

@article{WangH2008ieeetrehab,
	author="H. Wang and W. Zheng",
	title="Local Temporal Common Spatial Patterns for Robust Single-Trial {EEG} Classification",
	pages="131--139",
	journal=ieeetrehab,
	volume=16,
	number=2,
	year=2008
}

@inproceedings{WangH2009iccv,
	author="H. Wang and H. Huang and C. Ding",
	title="Image Annotation using Multi-Label Correlated {Green's} Function",
	booktitle=iccv,
	address="Kyoto, Japan",
	year=2009
}

@inproceedings{WangH2011cvpr,
	author="H. Wang and H. Huang and C. Ding",
	title="Image Annotation Using Bi-Relational Graph of Images and Semantic Labels",
	booktitle=cvpr,
	address="Colorado Springs, CO, USA",
	year=2011
}

@inproceedings{WangJ2000icml,
	author="J. Wang and J. -D. Zucker",
	title="Solving the Multiple-Instance Problem: A Lazy Learning Approach",
	booktitle=icml,
	address="San Francisco, CA",
	year=2000
}

@inproceedings{WangJ2004eccv,
	author="J. Wang and B. Thiesson and Y. Xu and M. F. Cohen",
	title="Image and Video Segmentation by Anisotropic Kernel Mean Shift",
	booktitle=eccv,
	address="Prague, Czech Republic",
	year=2004
}

@inproceedings{WangJ2010cvpr,
	author="J. Wang and S. Kumar and S. {-F.} Chang",
	title="Semi-Supervised Hashing for Scalable Image Retrieval",
	booktitle=cvpr,
	address="San Francisco, CA",
	year=2010
}

@inproceedings{WangJ2010icml,
	author="J. Wang and S. Kumar and S. {-F.} Chang",
	title="Sequential Projection Learning for Hashing with Compact Codes",
	booktitle=icml,
	address="Haifa, Israel",
	year=2010
}


@inproceedings{WangJ2010cvpr_b,
	author="J. Wang and J. Yang and K. Yu and F. Lv and T. Huang and Y. Gong",
	title="Locality-Constrained Linear Coding for Image Classification",
	booktitle=cvpr,
	address="San Francisco, CA, USA",
	year=2010
}

@inproceedings{WangJTL99kdd,
	author="J. T. L. Wang and X. Wang and K. -I. Lin and D. Shasha and B. A. Shapiro and K. Zhang",
	title="Evaluating a Class of Distance-Mapping Algorithms for Data Mining and Clustering",
	pages="307--311",
	booktitle=kdd,
	year=1999
}

@article{WangJTL2005ieeetsmcb,
	author="J. T. L. Wang and X. Wang and D. Shasha and K. Zhang",
	title="{MetricMap}: An Embedding Technique for Processing Distance-Based Queries in Metric Spaces",
	pages="973--987",
	journal=ieeetsmcb,
	volume=35,
	number=5,
	year=2005
}

@inproceedings{WangSB2006cvpr,
	author="S. B. Wang and A. Quattoni and L.-P. Morency and D. Demirdjian and T. Darrell",
	title="Hidden Conditional Random Fields for Gesture Recognition",
	booktitle=cvpr,
	address="New York, NY, USA",
	year=2006
}


@inproceedings{WangX2007nips,
	author="X. Wang and W. E. L. Grimson",
	title="Spatial Latent {Dirichlet} Allocation",
	booktitle=nips,
	volume=20,
	publisher="MIT Press",
	year=2008
}

@article{WangX2011ijcv,
	author="X. Wang and K. T. Ma and G.-W. Ng and W. E. L. Grimson",
	title="Trajectory Analysis and Semantic Region Modeling using Nonparametric Hierarchical {Bayesian} Models",
	pages="287--312",
	journal=ijcv,
	volume=95,
	number=3,
	year=2011
}

@inproceedings{WangXJ2010cvpr,
	author="X.-J. Wang and L. Zhang and M. Liu and Y. Li and W.-Y. Ma",
	title="{ARISTA} - Image Search to Annotation on Billions of Web Photos",
	booktitle=cvpr,
	address="San Francisco, CA, USA",
	year=2010
}

@article{WangXJ2012procieee,
	author="X.-J. Wang and L. Zhang and W.-Y. Ma",
	title="Duplicate-Search-Based Image Annotation Using Web-Scale Data",
	pages="2705--2721",
	journal="Proceedings of the IEEE",
	volume=100,
	number=9,
	year=2012
}

@inproceedings{WangY2004accv,
	author="Y. Wang and Y. Jia and C. Hu and M. Turk",
	title="Fisher Non-negative Matrix Factorization for Learning Local Features",
	booktitle=accv,
	address="Jeju Island, Korea",
	year=2004
}

@article{WangY2005jprai,
	author="Y. Wang and Y. Jia",
	title="Non-negative Matrix Factorization Framework for Face Recognition",
	pages="495-511",
	journal=jprai,
	volume=19,
	number=4,
	year=2005
}

@inproceedings{WangY2005icmlc,
	author="Y. Wang and J. -Q. Hang",
	title="Iris Recognition using Independent Component Analysis",
	booktitle="Proceedings of the 4th International Conference on Machine Learning and Cybernetics",
	year=2005
}

@inproceedings{WangY2008pikm,
	author="Y. Wang and H. Song and W. Wang and M. An",
	title="A Microscopic View on Community Detection in Complex Networks",
	booktitle="Proceeding of the 2nd PhD Workshop on Information and Knowledge Management",
	address="Napa Valley, California",
	year=2008
}

@inproceedings{WangZ2009aistats,
	author="Z. Wang and J. {Shawe-Taylor}",
	title="Large-Margin Structured Prediction via Linear Programming",
	booktitle=aistats,
	address="Clearwater Beach, FL",
	year=2009
}

@inproceedings{WangZ2014aistats,
	author="Z. Wang and B. Shakibi and L. Jin and N. {de Freitas}",
	title="Bayesian Multi-Scale Optimistic Optimization",
	booktitle=aistats,
	pages="1005--1014",
	address=venue-aistats-2014,
	year=2014
}

@article{WardJH63jasa,
	author="J. H. Ward",
	title="Hierarchical Grouping to Optimize an Objective Function",
	journal=jasa,
	volume=58,
	number=301,
	pages="236--244",
	year=1963
}

@book{WassermanS94book,
	author="S. Wasserman and K. Faust",
	title="Social Network Analysis: Methods and Applications",
	edition=1,
	publisher="Cambridge University Press",
	year=1994
}

@inproceedings{WeijerJ2006eccv,
	author="J. {van de Weijer} and C. Schmid",
	title="Coloring Local Feature Extraction",
	booktitle=eccv,
	address="Graz, Austria",
	year=2006
}

@inproceedings{WeimerM2007nips,
	author="M. Weimer and A. Karatzoglou and Q. V. Le and A. Smola",
	title="{COFIRANK}-Maximum Margin Matrix Factorization for Collaborative Ranking",
	booktitle=nips,
	volume=20,
	publisher="MIT Press",
	year=2008
}

@inproceedings{WeinbergerKQ2004cvpr,
	author="K. Q. Weinberger and L. K. Saul",
	title="Unsupervised Learning of Image Manifolds by Semidefinite Programming",
	booktitle=cvpr,
	address="Washington D.C.",
	year=2004
}

@inproceedings{WeinbergerKQ2004icml,
	author="K. Q. Weinberger and F. Sha and L. K. Saul",
	title="Learning a Kernel Matrix for Nonlinear Dimensionality Reduction",
	booktitle=icml,
	address="Banff, Canada",
	year=2004
}

@inproceedings{WeinbergerKQ2005nips,
	author="K. Q. Weinberger and J. Blitzer and L. K. Saul",
	title="Distance Metric Learning for Large Margin Nearest Neighbor Classification",
	booktitle=nips,
	volume=18,
	year=2006
}

@inproceedings{WeinbergerKQ2006aaai,
	author="K. Q. Weinberger and L. K. Saul",
	title="An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding",
	booktitle=aaai,
	year=2006
}

@inproceedings{WeinbergerKQ2008nips,
	author="K. Q. Weinberger and O. Chapelle",
	title="Large Margin Taxonomy Embedding with an Applicatioin to Document Categorization",
	booktitle=nips,
	volume=21,
	year=2009
}

@article{Weinstein94ieeetsp,
	author="E. Weinstein and A. V. Oppenheim and  M. Feder and J. R. Buck",
	title="Iterative and Sequential Algorithms for Multisensor Signal Enhancement",
	pages="846--859",
	journal=ieeetsp,
	volume=42,
	year=1994
}

@inproceedings{Weiss99iccv,
	author="Y. Weiss",
	title="Segmentation Using Eigenvectors: A Unifying View",
	pages="975--982",
	booktitle="Proceedings of International Conference on Computer Vision",
	year=1999
}

@inproceedings{WeissY2007nips,
	author="Y. Weiss and A. Torralba and R. Fergus",
	title="Spectral Hashing",
	booktitle=nips,
	volume=20,
	publisher="MIT Press",
	year=2008,
}

@inproceedings{WeissY2012eccv,
	author="Y. Weiss and R. Fergus and A. Torralba",
	title="Multidimensional Spectral Hashing",
	booktitle=eccv,
	address="Firenze, Italy",
	year=2012
}


@article{WellingM2001nc,
	author="M. Welling and M. Weber",
	title="A Constrained {EM} Algorithm for Independent Component Analysis",
	pages="677--689",
	journal=nc,
	volume=13,
	year=2001
}

@article{WellingM2001prl,
	author="M. Welling and M. Weber",
	title="Positive Tensor Factorization",
	pages="1255-1261",
	journal=prl,
	volume=22,
	year=2001
}

@inproceedings{WellingM2004nips,
	author="M. Welling and M. {Rosen-Zvi} and G. Hinton",
	title="Exponential Family Harmoniums with an Application to Information Retrieval",
	booktitle=nips,
	volume=17,
	year=2005
}

@article{Wersing2003nc,
	author="H. Wersing and E. Korner",
	title="Learning Optimized Features for Hierarchical Models of Invariant Object Recognition",
	pages="1559--1588",
	journal=nc,
	year=2003
}

@inproceedings{WestonJ99esann,
	author="J. Weston and C. Watkins",
	title="Support Vector Machines for Multi-Class Pattern Recognition",
	booktitle="Proceedings of the Seventh European Symposium On Artificial Neural Networks",
	year="1999"
}

@inproceedings{WestonJ2008nato,
	author="J. Weston",
	title="Large-Scale Semi-Supervised Learning",
	booktitle="Proceedings of NATO Advanced Study Institute on Mining Massive Data Sets for Security",
	year=2008
}

@article{WhiteHC76ajs,
	author="H. C. White and S. A. Boorman and R. L. Breiger",
	title="Social Structure from Multiple Networks. {I.} {Blockmodel} of Roles and Positions",
	pages="730--780",
	journal="The American Journal of Sociology",
	volume=81,
	number=4,
	year=1976
}

@inproceedings{WhiteS2005sdm,
	author="S. White and P. Smyth",
	title="A Spectral Clustering Approach to Finding Communities in Graphs",
	booktitle=sdm,
	address="Newport Beach, CA",
	year=2005
}

@article{Wiggins78,
	author="R. A. Wiggins",
	title="Minimum Entropy Deconvolution",
	pages="21--35",
	journal="Geoexploration",
	volume=16 ,
	year=1978
}

@article{WildS2004pr,
	author="S. Wild and J. Curry and A. Dougherty",
	title="Improving Non-negative Matrix Factorizations through Structured Initialization",
	pages="2217--2232",
	journal=pr,
	volume=37,
	year=2004
}

@inproceedings{WilliamsCKI1995neurips,
	author="C. K. I. Williams and C. E. Rasmussen",
	title="{Gaussian} Processes for Regression",
	booktitle=neurips,
	volume=8,
	pages="514--520",
	year=1996,
	address=venue-neurips-1995
}

@inproceedings{WilliamsCKI96nips,
	author="C. K. I. Williams",
	title="Computing with Infinite Networks",
	booktitle=nips,
	volume=9,
	year=1997
}

@incollection{WilliamsCKI97,
	author="C. K. I. Williams",
	title="Prediction with {Gaussian} Processes: From Linear Regression to Linear Prediction and beyond",
	pages="599-621",
	editor="M. I. Jordan",
	booktitle="Learning in Graphical Models",
	publisher="MIT Press",
	year=1997
}

@article{WilliamsCKI98ieeetpami,
	author="C. K. I. Williams and D. Barber",
	title="{Bayesian} Classification with {Gaussian} Processes",
	pages="1342--1351",
	journal=ieeetpami,
	volume=20,
	year=1998
}

@inproceedings{WilliamsCKI2000nips_a,
	author="C. K. I. Williams and M. Seeger",
	title="Using the {Nystr\"{o}m} Method to Speed Up Kernel Machines",
	booktitle=nips,
	volume=13,
	publisher="MIT Press",
	year=2001
}

@inproceedings{WilliamsCKI2000nips_b,
	author="C. K. I. Williams",
	title="On a Connection between Kernel {PCA} and Metric Multidimensional Scaling",
	booktitle=nips,
	volume=13,
	publisher="MIP Press",
	year=2001
}

@article{WilliamsCKI2002ml,
	author="C. K. I. Williams",
	title="On a Connection between Kernel {PCA} and Metric Multidimensional Scaling",
	pages="11--19",
	journal="Machine Learning",
	volume=46,
	year=2002
}

@article{WilliamsCKI2002nc,
	author="C. K. I. Williams and F. V. Agakov",
	title="Products of Gaussians and Probabilistic Minor Component Analysis",
	pages="1169--1182",
	journal=nc,
	volume=14,
	year=2002
}

@book{WilsonRJ96book,
	author="R. J. Wilson",
	title="Introduction to Graph Theory",
	publisher="Prentice Hall",
	year=1996
}

@inproceedings{WipfDP2003nips,
	author="D. P. Wipf and J. Palmer and B. Rao",
	title="Perspectives on Sparse {Bayesian} Learning",
	booktitle=nips,
	volume=16,
	year=2004
}

@article{WipfDP2007ieeetsp,
	author="D. P. Wipf and B. D. Rao",
	title="An Empirical {Bayesian} Strategy for Solving the Simultaneous Sparse Approximation Problem",
	pages="3704--3716",
	journal=ieeetsp,
	volume=55,
	number=7,
	year=2007
}

@article{WipfDP2010ieeejstsp,
	author="D. P. Wipf and S. Nagarajan",
	title="Iterative Reweighted $l_1$ and $l_2$ Methods for Finding Sparse Solutions",
	pages="317--329",
	journal=ieeejstsp,
	volume=4,
	number=2,
	year=2010
}

@article{WipfDP2011ieeetit,
	author="D. P. Wipf and B. D. Rao",
	title="Latent Variable {Bayesian} Models for Promoting Sparsity",
	pages="6236--6255",
	journal=ieeetit,
	volume=57,
	number=9,
	year=2011
}

@inproceedings{WipfDP2011nips,
	author="D. P. Wipf",
	title="Sparse Estimation with Structured Dictionaries",
	booktitle=nips,
	volume=24,
	year=2011
}

@inproceedings{WrenCR2006loca,
	author="C. R. Wren and E. M. Tapia",
	title="Toward Scalable Activity Recognition for Sensor Networks",
	pages="168--185",
	booktitle="Locationa and Context Awareness LNCS",
	volume=3987,
	publisher="Springer",
	year=2006
}


@inproceedings{WolfL2008eccv,
	author="L. Wolf and Y. Donner",
	title="Local Regularization for Multiclass Classification Facing Significant Intraclass Variations",
	booktitle=eccv,
	address="Marseille, France",
	year=2008
}

@article{WolpawJ2000ieeere,
	author="J. R. Wolpaw and N. Birbaumer and W. J. Heetderks and D. J. McFarland and P. H. Peckham and G. Schalk and E. Donchin and L. A. Quatrano and C. J. Robinson and T. M. Vaughan",
	title="Brain-Computer Interface Technology: A Review of the First International Meeting",
	journal="IEEE Transactions on Rehabilitation Engineering",
	volume=8,
	number=2,
	year=2000
}

@article{WolpawJ2002cn,
	author="J. R. Wolpaw and N. Birbaumer and D. J. McFarland and G. Pfurtscheller and T. M. Vaughan",
	title="Brain-Computer Interfaces for Communication and Control",
	journal="Clinical Neurophysiology",
	volume=113,
	pages="767--791",
	year=2002
}

@article{WrightM96an,
	author="M. H. Wright",
	title="Interior Methods for Constrained Optimization",
	pages="341--407",
	journal="Acta Numerica",
	year=1996
}

@article{WuCH95ieeetpami,
	author="C. {-H.} Wu and P. Doerschuk",
	title="Cluster Expansions for the Deterministic Computation of {Bayesian} Estimators Based on {Markov} Random Fields",
	pages="275--293",
	journal=ieeetpami,
	volume=17,
	year=1995
}

@inproceedings{WuJ2009icdm,
	author="J. Wu",
	title="Binomial Matrix Factorization for Discrete Collaborative Filtering",
	booktitle=icdm,
	address="Miami, Florida, USA",
	year=2009
}

@article{WuK2006ieeecim,
	author="K. Wu and K. Yap",
	title="Fuzzy {SVM} for Content-Based Image Retrieval: A Pseudo-Label Support Vector Machine Framework",
	pages="10--16",
	journal="IEEE Computational Intelligence Magazine",
	volume=1,
	number=2,
	year=2006
}

@article{WuTF2003jmlr,
	author="T. -F. Wu and C. -J. Lin and R. C. Weng",
	title="Probability Estimates for Multi-Class Classification by Pairwise Coupling",
	pages="975--1005",
	journal=jmlr,
	volume=5,
	year=2003
}

@article{WuW2008ieeetbme,
	author="W. Wu and X. Gao and B. Hong and S. Gao",
	title="Classifying Single-Trial {EEG} during Motor Imagery by Iterative Spatio-Spectral Patterns Learning {(ISSPL)}",
	pages="1733--1743",
	journal=ieeetbme,
	volume=55,
	number=6,
	year=2008
}

@inproceedings{WuW2009embc,
	author="W. Wu and Z. Chen and S. Gao and E. N. Brown",
	title="A Probabilistic Framework for Learning Robust Common Spatial Patterns",
	booktitle="Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society",
	address="Minneapolis, MN",
	year=2009
}

@inproceedings{WuW2010icassp,
	author="W. Wu and Z. Chen and S. Gao and E. N. Brown",
	title="Hierarchical {Bayesian} Modeling of Inter-Trial Variability and Variational {Bayesian} Learning of Common Spatial Patterns from Multichannel {EEG}",
	booktitle=icassp,
	address="Dallas, TX",
	year=2010
}

@article{WuW2011nimg,
	author="W. Wu and Z. Chen and S. Gao and E. N. Brown",
	title="A Hierarchical {Bayesian} Approach for Learning Sparse Spatio-Temporal Decompositions of Multichannel {EEG}",
	pages="1929--1945",
	journal="NeuroImage",
	volume=56,
	number=4,
	year=2011
}

@article{WynerA76ieeetit,
	author="A. Wyner and J. Ziv",
	title="The Rate Distortion Function for Source Coding with Side Information at the Decoder",
	pages="1--10",
	journal=ieeetit,
	volume=22,
	number=1,
	year=1976
}

@inproceedings{XiangR2010www,
	author="R. Xiang and J. Neville and M. Rogati",
	title="Modeling Relationship Strength in Online Social Networks",
	booktitle=www,
	address="Rayleigh, NC",
	year=2010
}

@inproceedings{XiaoC2008www,
	author="C. Xiao and W. Wang and X. Lin and J. X. Yu",
	title="Efficient Similarity Joins for Near Duplicate Detection",
	booktitle=www,
	address="Beijing, China",
	year=2008
}

@article{XieL2007pr,
	author="L. Xie and Z. Liu",
	title="A Coupled {HMM} Approach to Video-Realistic Speech Animation",
	pages="2325--2340",
	journal=pr,
	volume=40,
	number=8,
	year=2007
}

@inproceedings{XingEP2002nips,
	author="E. P. Xing and A. Y. Ng and M. I. Jordan and S. Russel",
	title="Distance Metric Learning, with Application to Clustering with Side-Information",
	booktitle=nips,
	volume=15,
	publisher="MIT Press",
	year=2003
}

@techreport{XingEP2003tr,
	author="E. P. Xing and M. I. Jordan",
	title="On Semidefinite Relaxation for Normalized k-Cut and Connections to Spectral Clustering",
	number="CSD-03-1265",
	institution="University of California, Berkeley",
	year=2003
}

@inproceedings{XingEP2005uai,
	author="E. P. Xing and R. Yan and A. G. Hauptmann",
	title="Mining Associated Text and Images with Dual-Wing Harmonium",
	booktitle=uai,
	address="Edinburgh, UK",
	year=2005
}

@inproceedings{XiongL2011aistats,
	author="L. Xiong and B. P{\'o}czos and J. Schneider and A. Connolly and J. {VanderPlas}",
	title="Hierarchical Probabilistic Models for Group Anomaly Detection",
	booktitle=aistats,
	address="Fort Lauderdale, FL, USA",
	year=2011
}

@inproceedings{XiongT2004nips,
	author="T. Xiong and J. Ye and Q. Li and R. Janardan and V. Cherkassky",
	title="Efficient Kernel Discriminant Analysis via {QR} Decomposition",
	booktitle=nips,
	volume=17,
	publisher="MIT Press",
	year=2005
}

@inproceedings{XuC2012cvpr,
	author="C. Xu and J. J. Corso",
	title="Evaluation of Super-Voxel Methods for Early Video Processing",
	booktitle=cvpr,
	address="Providence, Rhode Island, USA",
	year=2012
}

@inproceedings{XuC2012eccv,
	author="C. Xu and C. Xiong and J. J. Corso",
	title="Streaming Hierarchical Video Segmentation",
	booktitle=eccv,
	address="Firenze, Italy",
	year=2012
}

@inproceedings{XuD2005cvpr,
	author="D. Xu and S. Yan and L. Zhang and H. J. Zhang and Z. Liu and H. Y. Shum",
	title="Concurrent Subspace Analysis",
	pages="203--208",
	booktitle=cvpr,
	address="San Diego, CA",
	year=2005
}

@article{XuL93nn,
	author="L. Xu",
	title="Least {MSE} Reconstruction: A Principle for Self-Organizing Nets",
	pages="627--648",
	journal=nn,
	volume=6,
	year=1993
}

@inproceedings{XuL97nnsp,
	author="L. Xu",
	title="Bayesian {Ying-Yang} Learning Based {ICA} Models",
	pages="476--485",
	booktitle=nnsp97,
	editor="J. Principe and  L. Gile and  N. Morgan and E. Wilson",
	publisher="IEEE",
	year=1997
}

@article{XuR2005ieeetnn,
	author="R. Xu and D. {Wunsch II}",
	title="Survey of Clustering Algorithms",
	pages="645--678",
	journal=ieeetnn,
	volume=16,
	number=3,
	year=2005
}

@inproceedings{XuT2008icdm,
	author="T. Xu and Z. Zhang and P. S. Yu and B. Long",
	title="{Dirichlet} Process Based Evolutionary Clustering",
	booktitle=icdm,
	address="Pisa, Italy",
	year=2008
}

@inproceedings{XuW2003sigir,
	author="W. Xu and X. Liu and Y. Gong",
	title="Document Clustering Based on Non-Negative Matrix Factorization",
	booktitle=sigir,
	address="Toronto, Canada",
	year=2003
}

@article{XueY2007jmlr,
	author="Y. Xue and X. Liao and L. Carin and B. Krishnapuram",
	title="Multi-Task Learning for Classification with {Dirichlet} Process Priors",
	pages="35--63",
	journal=jmlr,
	volume=8,
	year=2007
}

@inproceedings{XuY2009aistats,
	author="Y. Xu and K. A. Heller and Z. Ghahramani",
	title="Tree-Based Inference for {Dirichlet} Process Mixtures",
	booktitle=aistats,
	address="Clearwater Beach, Florida, USA",
	year=2009
}

@inproceedings{YamatoJ92cvpr,
	author="J. Yamato and J. Ohya and K. Ishii",
	title="Recognizing Human Action in Time-Sequential Images using Hidden {Markov} Model",
	booktitle=cvpr,
	year=1992
}

@inproceedings{YanS2005cvpr-a,
	author="S. Yan and D. Xu and B. Zhang and H. {-J.} Zhang",
	title="Graph Embedding: A General Framework for Dimensionality Reduction",
	booktitle=cvpr,
	address="San Diego, CA",
	year=2005
}

@inproceedings{YanS2005cvpr-b,
	author="S. Yan and D. Xu and Q. Yang and L. Zhang and X. Tang and H. J. Zhang",
	title="Discriminant Analysis with Tensor Representation",
	pages="526--532",
	booktitle=cvpr,
	address="San Diego, CA",
	year=2005
}

@article{YanS2007ieeetpami,
	author="S. Yan and D. Xu and B. Zhang and H. {-J.} Zhang and Q. Yang and S. Lin",
	title="Graph Embedding and Extensions: A General Framework for Dimensionality Reduction",
	pages="40--51",
	journal=ieeetpami,
	volume=29,
	number=1,
	year=2007
}

@article{YangB95ieeetsp,
	author="B. Yang",
	title="Projection Approximation Subsapce Tracking",
	pages="95--107",
	journal=ieeetsp,
	volume=43,
	number=1,
	year=1995
}

@inproceedings{YangJB2015ijcai,
	author="J. B. Yang and M. N. Nguyen and P. P. San and X. L. Li and S. Krishnaswamy",
	title="Deep Convolutional Neural Networks on Multichannel Time Series For Human Activity Recognition",
	booktitle=ijcai,
	address="Buenos Aires, Argentina",
	year=2015
}

@article{YangH98sp,
	author="H. H. Yang",
	title="On-line Blind Equalization via On-line Blind Separation",
	pages="271--281",
	journal=sp,
	volume=68,
	number=3,
	year=1998
}

@article{YangJ2004ieeetpami,
	author="J. Yang and D. Zhang and A. F. Frangi and J. -Y Yang",
	title="Two-Dimensional {PCA}: A New Approach to Appearance-Based Face Representation and Recognition",
	pages="131--137",
	journal=ieeetpami,
	volume=26,
	number=1,
	year=2004
}

@inproceedings{YangT2006cimcv,
	author="T. Yang and J. Liu and L. McMillan and W. Wang",
	title="A Fast Approximation to Multidimensional Scaling",
	booktitle="Proceedings of the ECCV-2006 Workshop on Computation Intensive Methods for Computer Vision",
	year=2006
}

@inproceedings{YangX2006icml,
	author="X. Yang and H. Fu and H. Zha and J. L. Barlow",
	title="Semi-Supervised Nonliner Dimensionality Reduction",
	pages="1601--1608",
	booktitle=icml,
	address="Pittsburgh, PA",
	year=2006
}

@mastersthesis{YangY2004thesis,
	author="Y. Yang",
	title="Generating Generalized Exponentially Distributed Random Variates with Transformed Density Rejection and Ratio-of-Uniform Methods",
	school="Virginia Polytechnic Institute and State University",
	year=2004
}

@article{YangZ2007neucom,
	author="Z. Yang and J. Laaksonen",
	title="Multiplicative Updates for Non-Negative Projections",
	pages="363--373",
	journal=neucom,
	volume=71,
	year=2007
}

@inproceedings{YangJ2007sdm,
	author="J. Yang and Y. Liu and E. P. Xing and A. G. Hauptmann",
	title="Harmonium Models for Semantic Video Representation and Classification",
	booktitle=sdm,
	address="Minineapolis, MN",
	year=2007
}

@inproceedings{YeJ2004icml,
	author="J. Ye",
	title="Generalized Low Rank Approximations of Matrices.",
	pages="887--894",
	booktitle=icml,
	address="Banff, Canada",
	year=2004
}

@article{YeJ2004pr,
	author="J. Ye and Q. Li",
	title="{LDA/QR}: An Efficient and Effective Dimension Reduction Algorithm and its Theoretical Foundation",
	pages="851--854",
	journal=pr,
	volume=37,
	number=4,
	year=2004
}

@inproceedings{YeJ2004kdd,
	author="J. Ye and R. Janardan and Q. Li",
	title="{GPCA}: An Efficient Dimension Reduction Scheme for Image Compression and Retrieval",
	pages="354--363",
	booktitle=kdd,
	address="Seattle, WA",
	year=2004
}

@inproceedings{YeJ2004nips,
	author="J. Ye and R. Janardan and Q. Li",
	title="Two-Dimensional Linear Discriminant Analysis",
	pages="1569--1576",
	booktitle=nips,
	year=2005
}

@inproceedings{YeJ2007nips,
	author="J. Ye and Z. Zhao and M. Wu",
	title="Discriminative K-means for Clustering",
	booktitle=nips,
	volume=20,
	year=2008
}

@article{Yellin94ieeetsp,
	author="D. Yellin and E. Weinstein",
	title="Criteria for Multichannel Signal Separation",
	pages="2158--2168",
	journal=ieeetsp,
	volume=42,
	year=1994
}

@article{Yellin96ieeetsp,
	author="D. Yellin and E. Weinstein",
	title="Multichannel Signal Separation: Methods and Analysis",
	pages="106--118",
	journal=ieeetsp,
	volume=44,
	year=1996
}

@article{Yen99ieeetsap,
	author="K.-C. Yen and Y. Zhao",
	title="Adaptive Co-channel Speech Separation and Recognition",
	pages="138--151",
	journal=ieeetsap,
	volume=7,
	number=2,
	year=1999
}

@inproceedings{YenL2008kdd,
	author="L. Yen and A. Mantrach and M. Shimbo",
	title="A Family of Dissimilarity Measures between Nodes Generalizing both the Shortest-Path and the Commute-Time Distances",
	booktitle=kdd,
	address="Las Vegas, Nevada, USA",
	year=2008
}

@article{YenL2009dke,
	author="L. Yen and F. Fouss and C. Decaestecker and P. Francq",
	title="Graph Nodes Clustering with the Sigmoid Commute-Time Kernel: A Comparative Study",
	pages="338--361",
	journal="Data \& Knowledge Engineering",
	volume=68,
	number=3,
	year=2009
}

@article{YeohEJ2002cc,
	author="E. J. Yeoh and M. E. Ross and S. A. Shurtleff and W. K. Williams and D. Patel and R. Mahfouz and F. G. Behm and S. C. Raimondi and M. V. Relling and A. Patel and C. Cheng and D. Campana and D. Wilkins and X. Zhou and J. Li and H. Liu and C. H. Pui and W. E. Evans and C. Naeve and L. Wong and J. R. Downing",
	title="Classification, Subtype Discovery, and Prediction of Outcome in Pediatric Acute Lymphoblastic Leukemia by Gene Expression Profiling",
	pages="133--143",
	journal="Cancer Cell",
	volume=1,
	number=2,
	year=2002
}

@article{YeredorA2002ieeetsp,
	author="A. Yeredor",
	title="Non-Orthogonal Joint Diagonalization in the Least-Squares Sense with Application in Blind Source Separation",
	pages="1545--1553",
	journal=ieeetsp,
	volume=50,
	number=7,
	year=2002
}

@inproceedings{YiX2015icml,
	author="X. Yi and C. Caramanis and E. Price",
	title="Binary Embedding: Fundamental Limits and Fast Algorithm",
	booktitle=icml,
	address="Lille, France",
	year=2015
}

@article{YingY2012jmlr,
	author="Y. Ying and P. Li",
	title="Distance Metric Learning with Eigenvalue Optimization",
	pages="1--26",
	journal=jmlr,
	volume=13,
	year=2012
}

@inproceedings{YogatamaD2014aistats,
	title={Efficient transfer learning method for automatic hyperparameter tuning},
	author="D. Yogatama and G. Mann",
	booktitle=aistats,
	pages={1077--1085},
	address="Reykjavik, Iceland",
	year={2014}
}

@inproceedings{YooJH2008ideal,
	author="J. Yoo and S. Choi",
	title="Orthogonal Nonnegative Matrix Factorization: Multiplicative Updates on {Stiefel} Manifolds",
	booktitle="Proceedings of the Ninth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL)",
	address="Daejeon, Korea",
	year=2008
}

@inproceedings{YooJH2009icassp,
	author="J. Yoo and S. Choi",
	title="Probabilistic Matrix Tri-Factorization",
	booktitle=icassp,
	address="Taipei, Taiwan",
	year=2009
}

@inproceedings{YooJH2009acml,
	author="J. Yoo and S. Choi",
	title="Weighted Nonnegative Matrix Co-tri-factorization for Collaborative Prediction",
	booktitle="Proceedings of the First Asian Conference on Machine Learning (ACML)",
	address="Nanjing, China",
	year=2009
}

@inproceedings{YooJH2010icassp,
	author="J. Yoo and M. Kim and K. Kang and S. Choi",
	title="Nonnegative Matrix Partial Co-Factorization for Drum Source Separation",
	booktitle=icassp,
	address="Dallas, Texas",
	year=2010
}

@article{YooJH2010jcse,
	author="J. Yoo and S. Choi",
	title="Nonnegative Matrix Factorization with Orthogonality Constraints",
	pages="97--109",
	journal="Journal of Computing Science and Engineering",
	volume=4,
	number=2,
	year=2010
}

@article{YooJH2010ipm,
	author="J. Yoo and S. Choi",
	title="Orthogonal Nonnegative Matrix-Tri-Factorization for Co-clustering: Multiplicative Updates on Stiefel Manifolds",
	pages="559--570",
	journal=ipm,
	volume=46,
	number=5,
	year=2010,
}

@inproceedings{YooJ2011ijcai,
	author="J. Yoo and S. Choi",
	title="Matrix Co-Factorization on Compressed Sensing",
	booktitle=ijcai,
	address="Barcelona, Spain",
	year=2011
}

@inproceedings{YooJ2011ecmlpkdd,
	author="J. Yoo and S. Choi",
	title="{Bayesian} Matrix Co-Factorization: Variational Algorithm and {Cram{\'e}r-Rao} Bound",
	booktitle=ecmlpkdd,
	address="Athens, Greece",
	year=2011
}

@inproceedings{YooJH2012icassp,
	author="J. Yoo and S. Choi",
	title="Hierarchical Variational {Bayesian} Matrix Co-Factorization",
	booktitle=icassp,
	address="Kyoto, Japan",
	year=2012
}

@inproceedings{YuFX2014icml,
	author="F. X. Yu and S. Kumar and Y. Gong and S.-F. Chang",
	title="Circulant Binary Embedding",
	booktitle=icml,
	address=venue-icml-2014,
	year=2014
}

@inproceedings{YuHF2012icdm,
	author="H.-F. Yu and C.-J. Hsieh and S. Si and I. Dhillon",
	title="Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems",
	booktitle=icdm,
	address="Brussels, Belgium",
	year=2012
}

@inproceedings{YuK2005sigir,
	author="K. Yu and S. Yu and V. Tresp",
	title="Multi-Label Informed Latent Semantic Indexing",
	booktitle=sigir,
	address="Salvador, Brazil",
	year=2005
}

@inproceedings{YuSX2003iccv,
	author="S. X. Yu and J. Shi",
	title="Multiclass Spectral Clustering",
	booktitle=iccv,
	address="Nice, France",
	year=2003
}

@inproceedings{YuilleAL2001nips,
	author="A. L. Yuille and A. Rangarajan",
	title="The Concave-Convex Procedure {(CCCP)}",
	booktitle=nips,
	volume=14,
	publisher="MIT Press",
	year=2002
}

@article{YukinawaN2009ieeetcbb,
	author="N. Yukinawa and S. Oba and K. Kato and S. Ishii",
	title="Optimal Aggregation of Binary Classifiers for Multiclass Cancer Diagnosis using Gene Expression Profiles",
	pages="333--343",
	journal=ieeetcbb,
	volume=6,
	number=2,
	year=2009
}

@article{ZacharyWW77jar,
	author="W. W. Zachary",
	title="An Information Flow Model for Conflict and Fission in Small Groups",
	pages="452--473",
	journal="Journal of Anthropological Research",
	volume=33,
	year=1977
}

@inproceedings{ZadehRB2009uai,
	author="R. B. Zadeh and S. Ben-David",
	title="A Uniqueness Theorem for Clustering",
	pages="639--646",
	booktitle=uai,
	address="Montreal, Canada",
	year=2009
}

@inproceedings{ZadroznyB2001nips,
	author="B. Zadrozny",
	title="Reducing Multiclass to Binary by Coupling Probability Estimates",
	booktitle=nips,
	volume=14,
	year=2002
}

@inproceedings{ZadroznyB2001icml,
	author="B. Zadrozny and C. Elkan",
	title="Obtaining Calibrated Probability Estimates from Decision Trees and Naive {Bayesian} Classifiers",
	booktitle=icml,
	address="Williams Town, MA",
	year=2001
}

@inproceedings{ZadroznyB2002kdd,
	author="B. Zadrozny and C. Elkan",
	title="Transforming Classifier Scores into Accurate Multiclass Probability Estimates",
	booktitle=kdd,
	address="Edmonton, Canada",
	year=2002
}

@article{ZafeiriouS2006ieeetnn,
	author="S. Zafeiriou and A. Tefas and I. Buciu and I. Pitas",
	title="Exploiting Discriminant Information in Nonnegative Matrix Factorization with Application to Frontal Face Verification",
	pages="683--695",
	journal=ieeetnn,
	volume=17,
	number=3,
	year=2006
}

@article{ZahnCT71ieeetc,
	author="C. T. Zahn",
	title="Graph-Theoretical Methods for Detecting and Describing {Gestalt} Clusters",
	pages="68--86",
	journal=ieeetc,
	volume=20,
	year=1971
}

@inproceedings{ZassR2005iccv,
	author="R. Zass and A. Shashua",
	title="A Unifying Approach to Hard and Probabilistic Clustering",
	booktitle=iccv,
	address="Beijing, China",
	year=2005
}

@inproceedings{Zdunek2006icaisc,
	author="R. Zdunek and A. Cichocki",
	title="Non-Negative Matrix Factorization with Quasi-{Newton} Optimization",
	booktitle="Proceedings of the Eighth International Conference on Artificial Intelligence and Soft Computing",
	address="Zakopane, Poland",
	year=2006
}

@article{ZdunekR2008cin,
	author="R. Zdunek and A. Cichocki",
	title="Fast Nonnegative Matrix Factorization Algorithms using Projected Gradient Approaches for Large-Scale Problems",
	journal="Computational Intelligence and Neuroscience",
	volume=2008,
	year=2008
}

@inproceedings{Zelnik-Manor2004nips,
	author="L. {Zelnik-Manor} and P. Perona",
	title="Self-Tuning Spectral Clustering",
	pages="1601--1608",
	booktitle=nips,
	volume=17,
	year=2005
}

@inproceedings{ZhaiJ2011sigmod,
	author="J. Zhai and Y. Lou and J. Gehrke",
	title="{ATLAS}: A Probabilistic Algorithm for High Dimensional Similarity Search",
	booktitle=sigmod,
	address="Athens, Greece",
	year=2011
}

@inproceedings{ZhangD2011sigir,
	author="D. Zhang and F. Wang and L. Si",
	title="Composite Hashing with Multiple Information Sources",
	booktitle=sigir,
	address="Beijing, China",
	year=2011
}

@article{ZhangJ92ieeetsp,
	author="J. Zhang",
	title="The Mean Field Theory in {EM} Procedures for {Markov} Random Fields",
	pages="2570--2583",
	journal=ieeetsp,
	volume=40,
	number=10,
	year=1992
}

@inproceedings{ZhangJ2003icml,
	author="J. Zhang and R. Jin and Y. Yang and A. G. Hauptmann",
	title="Modified Logistic Regression: An Approximation to {SVM} and its Applications in Large-Scale Text Categorization",
	booktitle=icml,
	address="Washington, DC",
	year=2003,
}

@inproceedings{ZhangJ2005nips,
	author="J. Zhang and Z. Ghahramani and Y. Yang",
	title="Learning Multiple Related Tasks using Latent Independent Component Analysis",
	booktitle=nips,
	volume=18,
	publisher="MIT Press",
	year=2006
}

@article{ZhangJ2008mlj,
	author="J. Zhang and Z. Ghahramani and Y. Yang",
	title="Flexible Latent Variable Models for Multi-Task Learning",
	journal=mlj,
	volume=73,
	number=3,
	year=2008
}

@inproceedings{ZhangK2009icml,
	author="K. Zhang and J. T. Kwok and B. Parvin",
	title="Prototype Vector Machine for Large Scale Semi-Supervised Learning",
	booktitle=icml,
	address="Montreal, Canada",
	year=2009
}

@inproceedings{ZhangLQ98nnsp,
	author="L. -Q. Zhang and A. Cichocki",
	title="Blind Deconvolution/Equalization Using State Space Models",
	pages="123--131",
	booktitle=nnsp,
	address="Cambidge, UK",
	year=1998
}

@article{ZhangLQ99ieeespl,
	author="L. {-Q.} Zhang and A. Cichocki and S. Amari",
	title="Natural Gradient Algorithm for Blind Separation of Overdetermined Mixtures with Additive Noise",
	pages="293--295",
	journal=ieeespl,
	volume=6,
	number=11,
	month="Nov.",
	year=1999
}

@article{ZhangML2007pr,
	author="M. -L. Zhang and Z. -H. Zhou",
	title="{ML-KNN}: A Lazy Learning Approach to Multi-Label Learning",
	pages="2038--2048",
	journal=pr,
	volume=40,
	year=2007
}

@inproceedings{ZhangML2010kdd,
	author="M. -L. Zhang and K. Zhang",
	title="Multi-Label Learning by Exploiting Label Dependency",
	booktitle=kdd,
	address="Washington, DC, USA",
	year=2010
}

@inproceedings{ZhangQ2001nips,
	author="Q. Zhang and S. A. Goldman",
	title="{EM-DD}: An Improved Multiple-Instance Learning",
	booktitle=nips,
	volume=14,
	year=2002
}

@inproceedings{ZhangQ2000icml,
	author="Q. Zhang and S. A. Goldman and W. Yu and J. E. Fritts",
	title="Content-Based Image Retrieval Using Multiple-Instance Learning",
	booktitle=icml,
	year=2000
}

@inproceedings{ZhangS2006sdm,
	author="S. Zhang and W. Wang and J. Ford and F. Makedon",
	title="Learning from Incomplete Ratings Using Non-Negative Matrix Factorization",
	booktitle=sdm,
	year=2006
}

@article{ZhangS2007epjb,
	author="S. Zhang and X. -M. Ning and X. -S. Zhang",
	title="Graph Kernels, Hierarchical Clustering, and Network Community Structure: Experiments and Comparative Analysis",
	pages="67--74",
	journal="The European Physical Journal B",
	volume=57,
	year=2007
}

@article{ZhangT2001ir,
	author="T. Zhang and F. J. Oles",
	title="Text Categorization Based on Regularized Linear Classification Methods",
	pages="5--31",
	journal="Information Retrieval",
	volume=4,
	year=2001
}

@inproceedings{ZhangX2011uai,
	author="X. Zhang and A. Saha and S. V. N. Vishwanathan",
	title="Smoothing Multivariate Performance Measures",
	booktitle=uai,
	address="Barcelona, Spain",
	year=2011
}

@inproceedings{ZhangY2011aistats,
	author="Y. Zhang and J. Schneider",
	title="Multi-Lable Output Codes using Canonical Correlation Analysis",
	booktitle=aistats,
	address=venue-aistats-2011,
	year=2011
}

@article{ZhaoQ98jcopt,
	author="Q. Zhao and S. Karisch and F. Rendl and H. Wolkowicz",
	title="Semidefinite Programming Relaxations for the Quadratic Assignment Problem",
	pages="71--109",
	journal=jcopt,
	volume=2,
	number=1,
	month="March",
	year=1998
}

@phdthesis{ZhaoQ96phd,
	author="Q. Zhao",
	title="Semidefinite Programming for Assignment and Partitioning Problems",
	school="University of Waterloo",
	year=1996
}

@article{ZhaoW2003acmcs,
	author="W. Zhao and R. Chellappa and P. J. Phillips and A. Rosenfeld",
	title="Face Recognition: A Literature Survey",
	pages="399--458",
	journal="ACM Computing Surveys",
	volume=35,
	number=4,
	year=2003
}

@inproceedings{ZhenY2012kdd,
	author="Y. Zhen and D. -Y. Yeung",
	title="A Probabilistic Model for Multimodal Hash Function Learning",
	booktitle=kdd,
	address="Beijing, China",
	year=2012
}

@article{ZhengW2006ieeetnn,
	author="W. Zheng and X. Zhou and C. Zou and L. Zhao",
	title="Facial Expression Recognition Using Kernel Canonical Correlation Analysis {(KCCA)}",
	pages="223--238",
	journal=ieeetnn,
	volume=17,
	number=1,
	year=2006
}

@techreport{ZhuH95tr,
	author="H. Zhu and R. Rohwer",
	title="Information Geometric Measurements of Generalization",
	number="NCRG-4350",
	institution="Neural Computing Research Group, Aston University",
	year=1995
}

@inproceedings{ZhouD2003nips_a,
	author="D. Zhou and J. Weston and A. Gretton and O. Bousquet and B. Sch{\"o}lkopf",
	title="Ranking on Data Manifolds",
	booktitle=nips,
	pages="169--176",
	volume=16,
	year=2004
}

@inproceedings{ZhouD2003nips_b,
	author="D. Zhou and O. Bousquet and T. N. Lal and J. Weston and B. Sch{\"o}lkopf",
	title="Learning with Local and Global Consistency",
	booktitle=nips,
	pages="321--328",
	volume=16,
	year=2004
}

@inproceedings{ZhouD2004dagm,
	author="D. Zhou and B. Sch{\"o}lkopf",
	title="Learning from Labeled and Unlabeled Data Using Random Walks",
	booktitle="Proceedings of the 26th DAGM Pattern Recognition Symposium",
	pages="237--244",
	year=2004
}

@inproceedings{ZhouD2005icml,
	author="D. Zhou and J. Huang and B.  Sch{\"o}lkopf",
	title="Learning from Labeled and Unlabeled Data on a Directed Graph",
	pages="1041--1048",
	booktitle=icml,
	address="Bonn, Germany",
	year=2005
}

@techreport{ZhouD2005tr,
	author="D. Zhou and J. Huang and B.  Sch{\"o}lkopf",
	title="Beyond Pairwise Classification and Clustering Using Hypergraphs",
	number="TR-143",
	institution="Max Planck Institute for Biological Cybernetics",
	year=2005
}

@inproceedings{ZhouD2006nips,
	author="D. Zhou and J. Huang and B.  Sch{\"o}lkopf",
	title="Learning with Hypergraphs: Clustering, Classification, and Embedding",
	booktitle=nips,
	volume=19,
	publisher="MIT Press",
	year=2007
}

@inproceedings{ZhouD2007icml,
	author="D. Zhou and C. Burges",
	title="Spectral Clustering and Transductive Learning with Multiple Views",
	booktitle=icml,
	address="Corvalis, Oregon",
	year=2007
}

@inproceedings{ZhouS2008aim,
	author="S. Zhou and Z. Dong and W. J. Li and C. P. Kwong",
	title="Hand-Written Character Recognition using {MEMS} Motion Sensing Technology",
	pages="1418--1423",
	booktitle="Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics",
	year=2008
}

@inproceedings{ZhouZH2003ecml,
	author="Z. -H. Zhou and M. -L. Zhang",
	title="Ensembles of Multi-Instance Learners",
	pages="492--502",
	booktitle=ecml,
	year=2003
}

@article{ZhouZH2005api,
	author="Z. -H. Zhou and K. Jiang and M. Li",
	title="Multi-Instance Learning Based Web Mining",
	pages="135--147",
	journal="Applied Intelligence",
	volume=22,
	year=2005
}

@inproceedings{ZhouZH2007icml,
	author="Z. -H. Zhou and J. -M. Xu",
	title="On the Relation Between Multi-Instance Learning and Semi-supervised Learning",
	pages="1167--1174",
	booktitle=icml,
	address="Corvallis, OR",
	year=2007
}

@inproceedings{ZhuJ2009icml,
	author="J. Zhu and A. Ahmed and E. P. Xing",
	title="{MedLDA}: Maximum Margin Supervised Topic Models for Regression and Classification",
	booktitle=icml,
	address="Montreal, Canada",
	year=2009
}

@inproceedings{ZhuJ2009iccv,
	author="J. Zhu and L. {Van Gool} and S. C. H. Hoi",
	title="Unsupervised Face Alignment by Robust Nonrigid Mapping",
	pages="1265--1272",
	booktitle=iccv,
	year=2009
}

@inproceedings{ZhuS2007sigir,
	author="S. Zhu and K. Yu and Y. Chi and Y. Gong",
	title="Combining Content and Link for Classification using Matrix Factorization",
	booktitle=sigir,
	address="Amsterdam, The Netherlands",
	year=2007
}

@article{ZhuX2002ieeespl,
	author="X. {-L.} Zhu and X. {-D.} Zhang",
	title="Adaptive {RLS} Algorithm for Blind Source Separation Using a Natural Gradient",
	pages="432--435",
	journal=ieeespl,
	volume=9,
	number=12,
	month="Dec.",
	year=2002
}

@inproceedings{ZhuX2003icml,
	author="X. Zhu and Z. Ghahramani and J. Lafferty",
	title="Semi-Supervised Learning Using {Gaussian} Fields and Harmonic Functions",
	booktitle=icml,
	pages="912--919",
	year=2003
}

@inproceedings{ZhuX2005icml,
	author="X. Zhu and J. Lafferty",
	title="Harmonic Mixtures: Combining Mixture Models and Graph-Based Methods for Inductive and Scalable Semi-Supervised Learning",
	booktitle=icml,
	pages="1052--1059",
	year=2005
}

@techreport{ZhuX2008tr,
	author="X. Zhu",
	title="Semi-Supervised Learning Literature Survey",
	number="Computer Sciences TR-1530",
	institution="University of Wisconsin-Madison",
	year=2008
}

@article{ZhuangX2002sp,
	author="X. Zhuang and A. Lee Swindlehurst",
	title="Blind Equalization via Blind Source Separation Technique",
	journal=sp,
	note="to appear",
	year=2002
}

@inproceedings{ZhuangY2013recsys,
	author="Y. Zhuang and W. Chin and Y. Juan and C. Lin",
	title="A Fast Parallel {SGD} for Matrix Factorization in Shared Memory Systems",
	booktitle=recsys,
	address="Hong Kong, China",
	year=2013
}

@inproceedings{ZilsA2002wdm,
	author="A. Zils and F. Pachet and O. Delerue and F. Gouyon",
	title="Automatic Extraction of Drum Tracks from Polyphonic Music Signals",
	booktitle="Proceedings of the 2nd International Conference on Web Delivering of Music",
	address="Darmstadt, Germany",
	year=2002
}

@techreport{ZouH2004tr,
	author="H. Zou and T. Hastie and R. Tibshirani",
	title="Sparse Principal Component Analysis",
	institution="Department of Statistics, Stanford University",
	year=2004
}

@article{ZouH2004jcgs,
	author="H. Zou and T. Hastie and R. Tibshirani",
	title="Sparse Principal Component Analysis",
	journal="Journal of Computational and Graphical Statistics",
	note="accepted",
	year=2004
}

@article{MatthewsAG2017jmlr,
	author="A. G. {de G.} Matthews and M. {van der Wilk} and T. Nickson and K. Fujii and A. {Boukouvalas} and P. {Le{\'o}n-Villagr{\'a}} and Z. Ghahramani and J. Hensman",
	title="{GPflow}: A {Gaussian} process library using {TensorFlow}",
	journal=jmlr,
	year=2017,
	volume=18,
	pages="1--6",
}

@article{RubnerY2000ijcv,
	title="The earth mover's distance as a metric for image retrieval",
	author="Y. Rubner and C. Tomasi and L. J. Guibas",
	journal=ijcv,
	volume=40,
	number=2,
	pages="99--121",
	year=2000
}

@book{MichieD1994book,
	title="Machine learning, neural and statistical classification",
	author="D. Michie and D. J. Spiegelhalter and C. C. Taylor",
	year="1994",
	publisher="Ellis Horwood"
}

@inproceedings{PfahringerB2000icml,
	author="B. Pfahringer and H. Bensusan and C. {Giraud-Carrier}",
	title="Meta-Learning by Landmarking Various Learning Algorithms",
	booktitle=icml,
	pages="743--750",
	year=2000,
	address="Stanford, California, USA",
}

@inproceedings{poloczek2016wsc,
	author="M. Poloczek and J. Wang and P. I. Frazier",
	title="Warm Starting {Bayesian} Optimization",
	booktitle="Proceedings of the Winter Simulation Conference",
	year=2016,
	pages="770--781",
	address="Piscataway, New Jersey, USA"
}

@article{BreimanL2001ml,
	title="Random forests",
	author="L. Breiman",
	journal=ml,
	volume=45,
	number=1,
	pages="5--32",
	year=2001
}

@article{HennigP2012jmlr,
	title="Entropy search for information-efficient global optimization",
	author="P. Hennig and C. J. Schuler",
	journal=jmlr,
	volume=13,
	pages="1809--1837",
	year=2012
}


@book{fukunaga2013introduction,
	title={Introduction to statistical pattern recognition},
	author={K. Fukunaga},
	year={2013},
	publisher={Academic press}
}

@inproceedings{WistubaM2015dsaa,
	title="Learning hyperparameter optimization initializations",
	author="M. Wistuba and N. Schilling and L. {Schmidt-Thieme}",
	booktitle="IEEE International Conference on Data Science and Advanced Analytics (DSAA)",
	pages="1--10",
	year=2015,
	address=paris-france
}

@inproceedings{HeK2016cvpr,
	title="Deep residual learning for image recognition",
	author="K. He and X. Zhang and S. Ren and J. Sun",
	booktitle=cvpr,
	pages="770--778",
	year=2016,
	address=venue-cvpr-2016
}

@inproceedings{SpringenbergJT2016neurips,
	title="{Bayesian} optimization with robust {Bayesian} neural networks",
	author="J. T. Springenberg and A. Klein and S. Falkner and F. Hutter",
	booktitle=neurips,
	pages="4134--4142",
	year=2016,
	volume=29,
	address=venue-neurips-2016
}


@article{MckayMD1979technometrics,
	title="Comparison of three methods for selecting values of input variables in the analysis of output from a computer code",
	author="M. D. McKay and R. J. Beckman and W. J. Conover",
	journal="Technometrics",
	volume=21,
	number=2,
	pages="239--245",
	year=1979,
	publisher="Taylor \& Francis"
}

@inproceedings{ZaheerM2017neurips,
	title="Deep sets",
	author="M. Zaheer and S. Kottur and S. Ravanbakhsh and B. Poczos and R. R. Salakhutdinov and A. J. Smola",
	booktitle=neurips,
	volume=30,
	pages="3391--3401",
	year=2017,
	address=venue-neurips-2017
}

@inproceedings{EdwardsH2017iclr,
	title="Towards a neural statistician",
	author="H. Edwards and A. Storkey",
	booktitle=iclr,
	year=2017,
	address=venue-iclr-2017
}

@inproceedings{VinyalsO2016neurips,
	title="Matching networks for one shot learning",
	author="O. Vinyals and C. Blundell and T. Lillicrap and D. Wierstra",
	booktitle=neurips,
	volume=29,
	year=2016,
	pages="3630--3638",
	address="Barcelona, Spain"
}

@inproceedings{QiCR2017cvpr,
	title="{PointNet}: Deep Learning on Point Sets for {3D} Classification and Segmentation",
	author="C. R. Qi and H. Su and K. Mo and L. J. Guibas",
	booktitle=cvpr,
	pages="77--85",
	year=2017,
	address=venue-cvpr-2017
}

@article{XianY2017arxiv,
	title="Zero-shot learning - {A} comprehensive evaluation of the good, the bad and the ugly",
	author="Y. Xian and C. H. Lampert and B. Schiele and Z. Akata",
	journal="{arXiv} preprint {arXiv}:1707.00600",
	year=2017
}

@techreport{WahC2011tr,
	title="{The Caltech-UCSD Birds-200-2011 Dataset}",
	author="C. Wah and S. Branson and P. Welinder and P. Perona and S. Belongie",
	year=2011,
	institution="California Institute of Technology",
	number="CNS-TR-2011-001"
}

@misc{EveringhamM2012pascal,
	author="M. Everingham and L. Van~Gool and C. K. I. Williams and J. Winn and A. Zisserman",
	title="The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2012 {(VOC2012)} {R}esults",
	year=2012,
	note="\url{http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html}"
}

@inproceedings{FeurerM2015neurips,
	title="Efficient and robust automated machine learning",
	author="M. Feurer and A. Klein and K. Eggensperger and J. T. Springenberg and M. Blum and F. Hutter",
	booktitle=neurips,
	volume=28,
	pages="2962--2970",
	year=2015,
	address=venue-neurips-2015
}

@inproceedings{GuyonI2016automl,
	title="A Brief Review of the {ChaLearn} {AutoML} {Challenge}",
	author="I. Guyon and I. Chaabane and H. J. Escalante and S. Escalera and D. Jajetic and J. R. Lloyd and N. Macia and B. Ray and L. Romaszko and M. Sebag and A. Statnikov and S. Treguer and E. Viegas",
	booktitle=icmlw-automl,
	year=2016,
	address=venue-icml-2016
}

@inproceedings{MartinezCantinR2018aistats,
	author="R. {Martinez-Cantin} and K. Tee and M. {McCourt}",
	title="Practical {Bayesian} optimization in the presence of outliers",
	booktitle=aistats,
	address=venue-aistats-2018,
	pages="1722--1731",
	year=2018
}

@article{PedregosaF2011jmlr,
	title="{Scikit-learn}: Machine learning in {Python}",
	author="F. Pedregosa and G. Varoquaux and A. Gramfort and V. Michel and B. Thirion and O. Grisel and M. Blondel and P. Prettenhofer and R. Weiss and V. Dubourg and J. Vanderplas and A. Passos and D. Cournapeau and M. Brucher and M. Perrot and {\'E}. Duchesnay",
	journal=jmlr,
	volume=12,
	pages="2825--2830",
	year=2011
}

@inproceedings{ThorntonC2013kdd,
	title="{Auto-WEKA}: Combined selection and hyperparameter optimization of classification algorithms",
	author="C. Thornton and F. Hutter and H. H. Hoos and K. {Leyton-Brown}",
	booktitle=kdd,
	pages="847--855",
	year=2013,
	address="Chicago, Illinois, USA"
}

@article{MartinezCantinR2014jmlr,
	title="{BayesOpt}: A {Bayesian} optimization library for nonlinear optimization, experimental design and bandits",
	author="R. Martinez-Cantin",
	journal=jmlr,
	volume=15,
	pages="3735--3739",
	year=2014
}

@article{bull2011convergence,
	title="Convergence rates of efficient global optimization algorithms",
	author="A. D. Bull",
	journal=jmlr,
	volume=12,
	pages="2879--2904",
	year=2011
}

@article{ryzhov2016convergence,
	title="On the convergence rates of expected improvement methods",
	author="I. O. Ryzhov",
	journal=opres,
	volume=64,
	number=6,
	pages="1515--1528",
	year=2016
}

@article{wang2014theoretical,
	title="Theoretical analysis of {Bayesian} optimisation with unknown {Gaussian} process hyper-parameters",
	author="Z. Wang and N. {de Freitas}",
	journal="{arXiv} e-prints",
	volume="{arXiv}:1406.7758",
	year=2014
}

@article{FrazierPI2018arxiv,
	title="A Tutorial on {Bayesian} Optimization",
	author="P. I. Frazier",
	journal="{arXiv} preprint {arXiv}:1807.02811",
	year=2018
}

@article{JonesDR1993jota,
	title="{Lipschitzian} optimization without the {Lipschitz} constant",
	author="D. R. Jones and C. D. Perttunen and B. E. Stuckman",
	journal="Journal of Optimization Theory and Applications",
	volume=79,
	number=1,
	pages="157--181",
	year=1993
}

@article{HansenN2016arxiv,
	title="The {CMA} evolution strategy: A tutorial",
	author="N. Hansen",
	journal="{arXiv} preprint {arXiv}:1604.00772",
	year=2016
}

@inproceedings{WilsonJT2018neurips,
	title="Maximizing acquisition functions for {Bayesian} optimization",
	author="J. T. Wilson and F. Hutter and M. P. Deisenroth",
	booktitle=neurips,
	volume=31,
	year=2018,
	pages="9906--9917",
	address=venue-neurips-2018
}

@inproceedings{AzimiJ2012icml,
	title="Hybrid batch {Bayesian} optimization",
	author="J. Azimi and A. Jalali and X. Z. Fern",
	booktitle=icml,
	pages="315--322",
	year=2012,
	address=venue-icml-2012
}

@inproceedings{GonzalezJ2016aistats,
	title="Batch {Bayesian} optimization via local penalization",
	author="J. Gonz{\'a}lez and Z. Dai and P. Hennig and N. Lawrence",
	booktitle=aistats,
	pages="648--657",
	year=2016,
	address="Cadiz, Spain",
}

@article{SchonlauM1998lecturenotes,
	title="Global versus local search in constrained optimization of computer models",
	author="M. Schonlau and W. J. Welch and D. R. Jones",
	journal="Lecture Notes-Monograph Series",
	pages="11--25",
	year=1998
}

@book{hastie2009elements,
	title="The elements of statistical learning: data mining, inference, and prediction",
	author="T. Hastie and R. Tibshirani and J. H. Friedman",
	year=2009,
	publisher="Springer"
}

@article{zou2005regularization,
	title="Regularization and variable selection via the elastic net",
	author="H. Zou and T. Hastie",
	journal=jrssb,
	volume=67,
	number=2,
	pages="301--320",
	year=2005,
}

@article{FriedmanJH2001aos,
	title="Greedy function approximation: a gradient boosting machine",
	author="J. H. Friedman",
	journal=aos,
	volume=29,
	pages="1189--1232",
	year=2001
}

@article{ShahriariB2016procieee,
	title="Taking the human out of the loop: A review of {Bayesian} optimization",
	author="B. Shahriari and K. Swersky and Z. Wang and R. P. Adams and N. {de Freitas}",
	journal=procieee,
	volume=104,
	number=1,
	pages="148--175",
	year=2016
}

@inproceedings{arjovsky2017wasserstein,
	title="{Wasserstein} generative adversarial networks",
	author="M. Arjovsky and S. Chintala and L. Bottou",
	booktitle=icml,
	pages="214--223",
	year=2017,
	address="Sydney, Australia"
}

@article{pennec2006intrinsic,
	title={Intrinsic statistics on {Riemannian} manifolds: Basic tools for geometric measurements},
	author="X. Pennec",
	journal="Journal of Mathematical Imaging and Vision",
	volume=25,
	number=1,
	pages=127,
	year=2006,
}

@inproceedings{FinnC2017icml,
	title="Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks",
	author="C. Finn and P. Abbeel and S. Levine",
	booktitle=icml,
	pages="1126--1135",
	year=2017,
	address=venue-icml-2017
}

@article{NicholA2018arxiv,
	title="On First-Order Meta-Learning Algorithms",
	author="A. Nichol and J. Schulman",
	journal="{arXiv} preprint {arXiv}:1803.02999",
	year=2018
}

@inproceedings{rezende2016one,
	title="One-Shot Generalization in Deep Generative Models",
	author="D. J. Rezende and S. Mohamed and I. Danihelka and K. Gregor and D. Wierstra",
	booktitle=icml,
	pages="1521--1529",
	year=2016,
	address="New York, New York, USA"
}

@inproceedings{bartunov2018few,
	title="Few-shot Generative Modelling with Generative Matching Networks",
	author="S. Bartunov and D. Vetrov",
	booktitle=aistats,
	pages="670--678",
	year=2018,
	address="Lanzarote, Spain"
}

@inproceedings{van2016conditional,
	title="Conditional image generation with {PixelCNN} decoders",
	author="A. {van den Oord} and N. Kalchbrenner and O. Vinyals and L. Espeholt and A. Graves and K. Kavukcuoglu",
	booktitle=nips,
	pages="4790--4798",
	year=2016,
	address="Barcelona, Spain"
}

@inproceedings{reed2018few,
	title="Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions",
	author="S. Reed and Y. Chen and T. Paine and A. {van den Oord} and S. M. A. Eslami and D. Rezende and O. Vinyals and N. {de Freitas}",
	booktitle=iclr,
	year=2018,
	address="Vancouver, British Columbia, Canada"
}

@inproceedings{gregor2015draw,
	title="{DRAW}: A Recurrent Neural Network For Image Generation",
	author="K. Gregor and I. Danihelka and A. Graves and D. J. Rezende and D. Wierstra",
	booktitle=icml,
	pages="1462--1471",
	year=2015,
	address="Lille, France"
}

@article{hinton2002training,
	title="Training products of experts by minimizing contrastive divergence",
	author="G. E. Hinton, Geoffrey",
	journal=neco,
	volume=14,
	number=8,
	pages="1771--1800",
	year=2002,
}

@article{li2017meta,
	title="{Meta-SGD}: Learning to learn quickly for few-shot learning",
	author="Z. Li and F. Zhou and F. Chen and H. Li",
	journal="{arXiv} e-prints",
	volume="{arXiv}:1707.09835",
	year={2017}
}

@article{BarbetL2016ijm,
	title="{Sard} theorems for {Lipschitz} functions and applications in optimization",
	author="L. Barbet and M. Dambrine and A. Daniilidis and L. Rifford",
	journal="Israel Journal of Mathematics",
	volume=212,
	number=2,
	pages="757--790",
	year=2016
}

@article{RobinsonPD1992jna,
	title="Variational bounds on the entries of the inverse of a matrix",
	author="P. D. Robinson and A. J. Wathen",
	journal="IMA Journal of Numerical Analysis",
	volume=12,
	number=4,
	pages="463--486",
	year=1992
}

@inproceedings{GonzalezJ2014bayesopt,
	title="{Bayesian} optimization for synthetic gene design",
	author="J. Gonz{\'a}lez and J. Longworth and D. C. James and N. D. Lawrence",
	booktitle=neuripsw-bo,
	address=montreal-canada,
	year=2014
}

@inproceedings{ZophB2017iclr,
	title="Neural architecture search with reinforcement learning",
	author="B. Zoph and Q. V. Le",
	booktitle=iclr,
	address=venue-iclr-2017,
	year=2017
}

@book{PackwoodD2017book,
	title="{Bayesian} Optimization for Materials Science",
	author="D. Packwood",
	year=2017,
	publisher="Springer"
}

@incollection{FrazierP2016ismdd,
	title="{Bayesian} optimization for materials design",
	author="P. I. Frazier and J. Wang",
	booktitle="Information Science for Materials Discovery and Design",
	pages="45--75",
	year=2016,
	publisher="Springer"
}

@inproceedings{KandasamyK2018neurips,
	title="Neural Architecture Search with {Bayesian} Optimisation and Optimal Transport",
	author="K. Kandasamy and W. Neiswanger and J. Schneider and B. P{\'o}czos and E. P. Xing",
	booktitle=neurips,
	volume=31,
	pages="2016--2025",
	year=2018,
	address=venue-neurips-2018
}

@article{MercerJ1909ptrs,
	title="Functions of positive and negative type, and their connection the theory of integral equations",
	author="J. Mercer",
	journal="Philosophical Transactions of the Royal Society A",
	volume=209,
	number="441--458",
	pages="415--446",
	year=1909
}

@article{GrettonA2012jmlr,
	title="A kernel two-sample test",
	author="A. Gretton and K. M. Borgwardt and M. J. Rasch and B. Sch{\"o}lkopf and A. J. Smola",
	journal=jmlr,
	volume=13,
	pages="723--773",
	year=2012
}

@book{FasshauerGE2015ws,
	author="G. E. Fasshauer and M. M. McCourt",
	title="Kernel-based Approximation Methods Using {Matlab}",
	publisher="World Scientific",
	year=2015
}

@techreport{HausslerD1999tr,
	title="Convolution kernels on discrete structures",
	author="D. Haussler",
	year=1999,
	institution="Department of Computer Science, University of California at Santa Cruz"
}

@article{LloydS1982ieeetit,
	title="Least squares quantization in {PCM}",
	author="S. P. Lloyd",
	journal=ieeetit,
	volume=28,
	number=2,
	pages="129--137",
	year=1982
}

@phdthesis{DuvenaudD2014thesis,
	title="Automatic model construction with {G}aussian processes",
	author="D. Duvenaud",
	year=2014,
	school="University of Cambridge"
}

@inproceedings{WilsonAG2013icml,
	title="{G}aussian process kernels for pattern discovery and extrapolation",
	author="A. G. Wilson and R. P. Adams",
	booktitle=icml,
	pages="1067--1075",
	year=2013,
	address=venue-icml-2013
}

@inproceedings{PichenyV2016neurips,
	title="{Bayesian} optimization under mixed constraints with a slack-variable augmented {Lagrangian}",
	author="V. Picheny and R. B. Gramacy and S. Wild and S. {Le Digabel}",
	booktitle=neurips,
	pages="1435--1443",
	volume=29,
	year=2016,
	address=venue-neurips-2016
}

@inproceedings{MahendranN2012aistats,
	title="Adaptive {MCMC} with {Bayesian} optimization",
	author="N. Mahendran and Z. Wang and F. Hamze and N. {de Freitas}",
	booktitle=aistats,
	pages="751--760",
	year=2012,
	address="La Palma, Canary Islands, Spain"
}

@inproceedings{WangZ2018aistats,
	title="Batched Large-scale {Bayesian} Optimization in High-dimensional Spaces",
	author="Z. Wang and C. Gehring and P. Kohli and S. Jegelka",
	booktitle=aistats,
	pages="745--754",
	year=2018,
	address=venue-aistats-2018
}

@book{SteinM1999book,
	title="Interpolation of Spatial Data: Some Theory for Kriging",
	author="M. L. Stein",
	year=1999,
	publisher="Springer New York"
}

@article{SardA1942bams,
	title="The measure of the critical values of differentiable maps",
	author="A. Sard",
	journal="Bulletin of the American Mathematical Society",
	volume=48,
	number=12,
	pages="883--890",
	year=1942
}

@inproceedings{GarnettR2010ipsn,
	title="{Bayesian} Optimization for Sensor Set Selection",
	author="R. Garnett and M. A. Osborne and S. J. Roberts",
	booktitle="ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)",
	pages="209--219",
	year=2010,
	address="Stockholm, Sweden"
}

@article{MuandetK2017ftml,
	title="Kernel mean embedding of distributions: A review and beyond",
	author="K. Muandet and K. Fukumizu and B. Sriperumbudur and B. Sch{\"o}lkopf",
	journal=ftml,
	volume=10,
	number="1-2",
	pages="1--141",
	year=2017
}

@inproceedings{PaciorekC2004neurips,
	title="Nonstationary covariance functions for {Gaussian} process regression",
	author="C. J. Paciorek and M. J. Schervish",
	booktitle=neurips,
	volume=17,
	pages="273--280",
	year=2004,
	address=venue-neurips-2004
}

@inproceedings{GarneloM2018icml,
	title="Conditional Neural Processes",
	author="M. Garnelo and D. Rosenbaum and C. J. Maddison and T. Ramalho and D. Saxton and M. Shanahan and Y. W. Teh and D. J. Rezende and S. M. A. Eslami",
	booktitle=icml,
	pages="1690--1699",
	year=2018,
	address=venue-icml-2018
}

@article{GarneloM2018arxiv,
	title="Neural processes",
	author="M. Garnelo and J. Schwarz and D. Rosenbaum and F. Viola and D. J. Rezende and S. M. A. Eslami and Y. W. Teh",
	journal="{arXiv} preprint {arXiv}:1807.01622",
	year=2018
}

@techreport{SutherlandDJ2016tr,
	author="D. J. Sutherland",
	title="Scalable, Flexible and Active Learning on Distributions",
	number="CMU-CS-16-128",
	institution="School of Computer Science, Carnegie Mellon University",
	year=2016
}

@article{GentonMG2001jmlr,
	title="Classes of kernels for machine learning: a statistics perspective",
	author="M. G. Genton",
	journal=jmlr,
	volume=2,
	pages="299--312",
	year=2001
}

@inproceedings{ArthurD2007soda,
	title="k-means++: The advantages of careful seeding",
	author="D. Arthur and S. Vassilvitskii",
	booktitle=soda,
	pages="1027--1035",
	year=2007,
	address="New Orleans, Louisiana, USA"
}

@inproceedings{KawaguchiK2015neurips,
	title="{Bayesian} optimization with exponential convergence",
	author="K. Kawaguchi and L. P. Kaelbling and T. {Lozano-P{\'e}rez}",
	booktitle=neurips,
	volume=28,
	pages="2809--2817",
	year=2015,
	address="Montreal, Quebec, Canada"
}

@inproceedings{GelbartMA2014uai,
	title="{Bayesian} optimization with unknown constraints",
	author="M. A. Gelbart and J. Snoek and R. P. Adams",
	booktitle=uai,
	pages="250--259",
	year=2014,
	address="Quebec City, Quebec, Canada"
}

@inproceedings{GardnerJR2014icml,
	title="{Bayesian} optimization with inequality constraints",
	author="J. R. Gardner and M. J. Kusner and Z. E. Xu and K. Q. Weinberger and J. P. Cunningham",
	booktitle=icml,
	pages="937--945",
	year=2014,
	address="Beijing, China"
}

@inproceedings{NguyenV2020icml,
	title="Knowing The What But Not The Where in {Bayesian} Optimization",
	author="V. Nguyen and M. A. Osborne",
	booktitle=icml,
	pages="7317--7326",
	year=2020,
	address=venue-icml-2020
}

@article{LawHCL2018arxiv,
	title="Hyperparameter Learning via Distributional Transfer",
	author="H. C. L. Law and P. Zhao and L. Chan and J. Huang and D. Sejdinovic",
	journal="{arXiv} preprint {arXiv}:1810.06305",
	year=2018
}

@article{JomaaHS2019arxiv,
	title="Dataset2Vec: Learning Dataset Meta-Features",
	author="H. S. Jomaa and J. Grabocka and L. {Schmidt-Thieme}",
	journal="{arXiv} preprint {arXiv}:1905.11063",
	year=2019
}

@inproceedings{WuJ2017neurips,
	title="{Bayesian} optimization with gradients",
	author="J. Wu and M. Poloczek and A. G. Wilson and P. I. Frazier",
	booktitle=neurips,
	volume=30,
	pages="5267--5278",
	year=2017,
	address="Long Beach, California, USA"
}

@inproceedings{AstudilloR2019icml,
	title="{Bayesian} Optimization of Composite Functions",
	author="R. Astudillo and P. I. Frazier",
	booktitle=icml,
	pages="354--363",
	year=2019,
	address="Long Beach, California, USA"
}

@inproceedings{McleodM2018icml,
	title="Optimization, Fast and Slow: Optimally Switching between Local and {Bayesian} Optimization",
	author="M. McLeod and M. A. Osborne and S. J. Roberts",
	booktitle=icml,
	pages="3440--3449",
	year=2018,
	address="Stockholm, Sweden"
}

@inproceedings{TestuzR2013eurographics,
	title="Automatic Generation of Constructable Brick Sculptures",
	author="R. Testuz and Y. Schwartzburg and M. Pauly",
	booktitle="Proceedings of the Annual Conference of the European Association for Computer Graphics (Eurographics)",
	pages="81-84",
	year=2013,
	address="Girona, Spain",
	note="Short Paper"
}

@inproceedings{LeeS2015gecco,
	author="S. Lee and J. Kim and J. W. Kim and {B-R.} Moon",
	title="Finding an Optimal {LEGO\textregistered} Brick Layout of Voxelized {3D} Object Using a Genetic Algorithm",
	booktitle=gecco,
	year=2015,
	pages="1215--1222",
	address="Madrid, Spain"
}

@article{KozakiT2016cad,
	title="Automatic generation of {LEGO} building instructions from multiple photographic images of real objects",
	author="T. Kozaki and H. Tedenuma and T. Maekawa",
	journal=cad,
	volume=70,
	pages="13--22",
	year=2016
}

@article{LuoSJ2015acmtgraphics,
	author="{S-J.} Luo and Y. Yue and {C-K.} Huang and {Y-H.} Chung and S. Imai and T. Nishita and {B-Y.} Chen",
	title="Legolization: Optimizing {LEGO} Designs",
	journal=acmtgraphics,
	volume=34,
	number=6,
	year=2015,
	pages="222:1--222:12"
}

@misc{JakobW2010mitsuba,
	author="W. Jakob",
	year=2010,
	howpublished="\url{http://www.mitsuba-renderer.org}",
	title="Mitsuba renderer"
}

@article{ZhouQ2018arxiv,
	author="{Q-Y.} Zhou and J. Park and V. Koltun",
	title="{Open3D}: {A} Modern Library for {3D} Data Processing",
	journal="{arXiv} preprint {arXiv}:1801.09847",
	year=2018
}

@article{GaoL2019acmtgraphics,
	title="{SDM-NET}: Deep generative network for structured deformable mesh",
	author="L. Gao and J. Yang and T. Wu and {Y-J.} Yuan and H. Fu and {Y-K.} Lai and H. Zhang",
	journal=acmtgraphics,
	volume=38,
	number=6,
	pages="1--15",
	year=2019
}

@inproceedings{FanH2017cvpr,
	title="A point set generation network for {3D} object reconstruction from a single image",
	author="H. Fan and H. Su and L. J. Guibas",
	booktitle=cvpr,
	pages="605--613",
	year=2017,
	address="Honolulu, Hawaii, USA"
}

@article{KassM1988ijcv,
	title="Snakes: Active contour models",
	author="M. Kass and A. Witkin and D. Terzopoulos",
	journal=ijcv,
	volume=1,
	number=4,
	pages="321--331",
	year=1988
}

@phdthesis{ElfesA1989thesis,
	author="A. Elfes",
	title="Occupancy Grids: A Probabilistic Framework for Robot Perception and Navigation",
	year=1989,
	school="Carnegie Mellon University"
}

@inproceedings{SharmaA2016eccv,
	title="{VConv-DAE}: Deep volumetric shape learning without object labels",
	author="A. Sharma and O. Grau and M. Fritz",
	booktitle=eccv,
	pages="236--250",
	year=2016,
	address=venue-eccv-2016
}

@inproceedings{WuJ2016neurips,
	title="Learning a probabilistic latent space of object shapes via {3D} generative-adversarial modeling",
	author="J. Wu and C. Zhang and T. Xue and B. Freeman and J. Tenenbaum",
	booktitle=neurips,
	pages="82--90",
	year=2016,
	volume=29,
	address=venue-neurips-2016
}

@article{BeslPJ1992ieeetpami,
	title="A method for registration of {3-D} shapes",
	author="P. J. Besl and N. D. McKay",
	journal=ieeetpami,
	volume=14,
	number=2,
	pages="239--256",
	year=1992
}

@article{BarberCB1996acmtms,
	title="The {Quickhull} algorithm for convex hulls",
	author="C. B. Barber and D. P. Dobkin and H. Huhdanpaa",
	journal=acmtms,
	volume=22,
	number=4,
	pages="469--483",
	year=1996
}

@article{EddyWF1977acmtoms,
	title="A new convex hull algorithm for planar sets",
	author="W. F. Eddy",
	journal=acmtoms,
	volume=3,
	number=4,
	pages="398--403",
	year=1977
}

@article{BykatA1978ipl,
	title="Convex hull of a finite set of points in two dimensions",
	author="A. Bykat",
	journal="Information Processing Letters",
	volume=7,
	number=6,
	pages="296--298",
	year=1978
}

@article{BendsoeMP1988CMAME,
	title="Generating optimal topologies in structural design using a homogenization method",
	author="M. P. Bends{\o}e and N. Kikuchi",
	journal="Computer Methods in Applied Mechanics and Engineering",
	volume=71,
	number=2,
	pages="197--224",
	year=1988
}

@article{EilersS2016amm,
	title="The {LEGO} Counting Problem",
	author="S. Eilers",
	journal="The American Mathematical Monthly",
	volume=123,
	number=5,
	pages="415--426",
	year=2016
}

@inproceedings{BrackettD2011sffs,
	title="Topology optimization for additive manufacturing",
	author="D. Brackett and I. Ashcroft and R. Hague",
	booktitle="Proceedings of the Solid Freeform Fabrication Symposium",
	pages="348--362",
	year=2011,
	address=austin-usa
}

@article{EschenauerHA1994so,
	title="Bubble method for topology and shape optimization of structures",
	author="H. A. Eschenauer and V. V. Kobelev and A. Schumacher",
	journal="Structural Optimization",
	volume=8,
	number=1,
	pages="42--51",
	year=1994
}

@article{BorrvallT2003ijnmf,
	title="Topology optimization of fluids in {Stokes} flow",
	author="T. Borrvall and J. Petersson",
	journal="International Journal for Numerical Methods in Fluids",
	volume=41,
	number=1,
	pages="77--107",
	year=2003
}

@article{KharmandaG2004smo,
	title="Reliability-based topology optimization",
	author="G. Kharmanda and N. Olhoff and A. Mohamed and M. Lemaire",
	journal="Structural and Multidisciplinary Optimization",
	volume=26,
	number=5,
	pages="295--307",
	year=2004
}

@inproceedings{AchlioptasP2018icml,
	title="Learning Representations and Generative Models for {3D} Point Clouds",
	author="P. Achlioptas and O. Diamanti and I. Mitliagkas and L. Guibas",
	booktitle=icml,
	pages="40--49",
	year=2018,
	address=venue-icml-2018
}

@inproceedings{ChoyCB2016eccv,
	title="{3D-R2N2}: A unified approach for single and multi-view {3D} object reconstruction",
	author="C. B. Choy and D. Xu and J. Gwak and K. Chen and S. Savarese",
	booktitle=eccv,
	pages="628--644",
	year=2016,
	address=venue-eccv-2016
}

@inproceedings{GroueixT2018cvpr,
	title="{AtlasNet}: A {Papier-M{\^a}ch{\'e}} Approach to Learning {3D} Surface Generation",
	author="T. Groueix and M. Fisher and V. G. Kim and B. C. Russell and M. Aubry",
	booktitle=cvpr,
	pages="216--224",
	year=2018,
	address=venue-cvpr-2018
}

@inproceedings{WuZ2015cvpr,
	title="{3D ShapeNets}: A deep representation for volumetric shapes",
	author="Z. Wu and S. Song and A. Khosla and F. Yu and L. Zhang and X. Tang and J. Xiao",
	booktitle=cvpr,
	pages="1912--1920",
	year=2015,
	address=venue-cvpr-2015
}

@inproceedings{HenzlerP2019iccv,
	title="Escaping {Plato's} {Cave} using Adversarial Training: {3D} Shape From Unstructured {2D} Image Collections",
	author="P. Henzler and N. Mitra and T. Ritschel",
	booktitle=iccv,
	pages="9984--9993",
	year=2019,
	address=venue-iccv-2019
}

@article{KnowlesJ2006ieeetec,
	title="{ParEGO}: a hybrid algorithm with on-line landscape approximation for expensive multiobjective optimization problems",
	author="J. Knowles",
	journal=ieeetec,
	volume=10,
	number=1,
	pages="50--66",
	year=2006
}

@inproceedings{PariaB2019uai,
	title="A Flexible Framework for Multi-Objective {Bayesian} Optimization using Random Scalarizations",
	author="B. Paria and K. Kandasamy and B. P{\'o}czos",
	booktitle=uai,
	pages="766--776",
	year=2019,
	address=venue-uai-2019
}

@inproceedings{BaptistaR2018icml,
	title="{Bayesian} Optimization of Combinatorial Structures",
	author="R. Baptista and M. Poloczek",
	booktitle=icml,
	pages="462--471",
	year=2018,
	address=venue-icml-2018
}

@inproceedings{RoijersDM2015ijcai,
	title="Point-based planning for multi-objective {POMDPs}",
	author="D. M. Roijers and S. Whiteson and F. A. Oliehoek",
	booktitle=ijcai,
	pages="1666--1672",
	year=2015
}

@article{ChangAX2015arxiv,
	title="{ShapeNet}: An information-rich {3D} model repository",
	author="A. X. Chang and T. Funkhouser and L. Guibas and P. Hanrahan and Q. Huang and Z. Li and S. Savarese and M. Savva and S. Song and H. Su and J. Xiao and L. Yi and F. Yu",
	journal="{arXiv} preprint {arXiv}:1512.03012",
	year=2015
}

@inproceedings{XiangY2016eccv,
	title="{ObjectNet3D}: A large scale database for {3D} object recognition",
	author="Y. Xiang and W. Kim and W. Chen and J. Ji and C. Choy and H. Su and R. Mottaghi and L. Guibas and S. Savarese",
	booktitle=eccv,
	pages="160--176",
	year=2016,
	address=venue-eccv-2016
}

@inproceedings{ContalE2013ecmlpkdd,
	title="Parallel {Gaussian} process optimization with upper confidence bound and pure exploration",
	author="E. Contal and D. Buffoni and A. Robicquet and N. Vayatis",
	booktitle=ecmlpkdd,
	pages="225--240",
	year=2013,
	address="Prague, Czech Republic"
}

@inproceedings{AzimiJ2010neurips,
	title="Batch {Bayesian} optimization via simulation matching",
	author="J. Azimi and A. Fern and X. Z. Fern",
	booktitle=neurips,
	volume=23,
	pages="109--117",
	year=2010,
	address=venue-neurips-2010
}

@inproceedings{ChevalierC2013lion,
	title="Fast computation of the multi-points expected improvement with applications in batch selection",
	author="C. Chevalier and D. Ginsbourger",
	booktitle=lion,
	pages="59--69",
	year=2013
}

@incollection{GinsbourgerD2010cieop,
	title="Kriging is well-suited to parallelize optimization",
	author="D. Ginsbourger and R. {Le Riche} and L. Carraro",
	booktitle="Computational intelligence in expensive optimization problems",
	pages="131--162",
	year=2010,
	publisher="Springer"
}

@inproceedings{KandasamyK2015icml,
	title="High dimensional {Bayesian} optimisation and bandits via additive models",
	author="K. Kandasamy and J. Schneider and B. P{\'o}czos",
	booktitle=icml,
	pages="295--304",
	year=2015,
	address=venue-icml-2015
}

@inproceedings{KrauseA2005uai,
	title="Near-optimal nonmyopic value of information in graphical models",
	author="A. Krause and C. Guestrin",
	booktitle=uai,
	pages="324--331",
	year=2005,
	address=venue-uai-2005
}

@article{PerroneV2017jmlr,
	title="{Poisson} random fields for dynamic feature models",
	author="V. Perrone and P. A. Jenkins and D. Spano and Y. W. Teh",
	journal=jmlr,
	volume=18,
	pages="1--45",
	year=2017
}

@misc{DuaD2019uci,
	author="D. Dua and C. Graff",
	year=2019,
	title="{UCI} Machine Learning Repository",
	howpublished="\url{http://archive.ics.uci.edu/ml}",
	institution="University of California, Irvine, School of Information and Computer Sciences"
}

@inproceedings{IoffeS2015icml,
	title="Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift",
	author="S. Ioffe and C. Szegedy",
	booktitle=icml,
	pages="448--456",
	year=2015,
	address=venue-icml-2015
}

@inproceedings{ScarlettJ2018icml,
	title="Tight Regret Bounds for {Bayesian} Optimization in One Dimension",
	author="J. Scarlett",
	booktitle=icml,
	pages="4500--4508",
	year=2018,
	address=venue-icml-2018
}

@inproceedings{ChowdhurySR2017icml,
	title="On kernelized multi-armed bandits",
	author="S. R. Chowdhury and A. Gopalan",
	booktitle=icml,
	pages="844--853",
	year=2017,
	address=venue-icml-2017
}

@book{ZieglerGM1993polytopes,
	title="Lectures on Polytopes",
	author="G. M. Ziegler",
	publisher="Springer Science \& Business Media",
	year=1993
}

@inproceedings{OhC2019neurips,
	title="Combinatorial {Bayesian} Optimization using the Graph Cartesian Product",
	author="C. Oh and J. Tomczak and E. Gavves and M. Welling",
	booktitle=neurips,
	volume=32,
	pages="2914--2924",
	year=2019,
	address=venue-neurips-2019
}

@article{CuiJ2018arxiv,
	title="Graph {Bayesian} optimization: Algorithms, evaluations and applications",
	author="J. Cui and B. Yang",
	journal="{arXiv} preprint {arXiv}:1805.01157",
	year=2018
}

@inproceedings{ZhangY2015cvpr,
	title="Improving object detection with deep convolutional networks via {Bayesian} optimization and structured prediction",
	author="Y. Zhang and K. Sohn and R. Villegas and G. Pan and H. Lee",
	booktitle=cvpr,
	pages="249--258",
	year=2015,
	address=venue-cvpr-2015
}

@article{WangZ2016jair,
	title="{Bayesian} Optimization in a Billion Dimensions via Random Embeddings",
	author="Z. Wang and F. Hutter and M. Zoghi and D. Matheson and N. {de Freitas}",
	journal=jair,
	volume=55,
	pages="361--387",
	year=2016
}

@article{MussaHY2013jmr,
	title="The {Aitchison} and {Aitken} kernel function revisited",
	author="Y. H. Mussa",
	journal="Journal of Mathematics Research",
	volume=5,
	number=1,
	pages=22,
	year=2013
}

@incollection{IndykP2017hdcg,
	title="low-distortion embeddings of finite metric spaces",
	author="P. Indyk and J. Matou{\v{s}}ek and A. Sidiropoulos",
	booktitle="Handbook of discrete and computational geometry",
	pages="211--231",
	year=2017,
	publisher="CRC Press"
}

@article{TrevisanL2000siamjc,
	title="When {Hamming} meets {Euclid}: the approximability of geometric {TSP} and {Steiner} tree",
	author="L. Trevisan",
	journal="SIAM Journal on Computing",
	volume=30,
	number=2,
	pages="475--485",
	year=2000
}

@inproceedings{NayebiA2019icml,
	title="A framework for {Bayesian} optimization in embedded subspaces",
	author="A. Nayebi and A. Munteanu and M. Poloczek",
	booktitle=icml,
	pages="4752--4761",
	year=2019,
	address=venue-icml-2019
}

@inproceedings{MchutchonA2011neurips,
	title="{Gaussian} process training with input noise",
	author="A. McHutchon and C. E. Rasmussen",
	booktitle=neurips,
	volume=24,
	pages="1341--1349",
	year=2011,
	address=venue-neurips-2011
}

@article{BertsimasD2016aos,
	title="Best subset selection via a modern optimization lens",
	author="D. Bertsimas and A. King and R. Mazumder",
	journal=aos,
	pages="813--852",
	year=2016
}

@book{HastieT2015book,
	title="Statistical learning with sparsity: the {Lasso} and generalizations",
	author="T. Hastie and R. Tibshirani and M. Wainwright",
	year=2015,
	publisher="CRC press"
}

@inproceedings{VaswaniA2017neurips,
	title="Attention is all you need",
	author="A. Vaswani and N. Shazeer and N. Parmar and J. Uszkoreit and L. Jones and A. N. Gomez and {\L}. Kaiser and I. Polosukhin",
	booktitle=neurips,
	volume=30,
	pages="5998--6008",
	year=2017,
	address=venue-neurips-2017
}

@article{HaghanifarS2019mh,
	title="Creating glasswing butterfly-inspired durable antifogging superomniphobic supertransmissive, superclear nanostructured glass through {Bayesian} learning and optimization",
	author="S. Haghanifar and M. McCourt and B. Cheng and J. Wuenschell and P. Ohodnicki and P. W. Leu",
	journal="Materials Horizons",
	volume=6,
	number=8,
	pages="1632--1642",
	year=2019
}

@article{BoussaidI2013is,
	title="A survey on optimization metaheuristics",
	author="I. Boussa{\"\i}d and J. Lepagnot and P. Siarry",
	journal="Information Sciences",
	volume=237,
	pages="82--117",
	year=2013
}

@article{LinM2013arxiv,
	title="Network in network",
	author="M. Lin and Q. Chen and S. Yan",
	journal="arXiv preprint arXiv:1312.4400",
	year=2013
}

@inproceedings{BuathongP2020aistats,
	title="Kernels over sets of finite sets using {RKHS} embeddings, with application to {Bayesian} (combinatorial) optimization",
	author="P. Buathong and D. Ginsbourger and T. Krityakierne",
	booktitle=aistats,
	pages="2731--2741",
	year=2020,
	address=venue-aistats-2020
}

@book{GareyMR1979book,
	title="Computers and intractability",
	author="M. R. Garey and D. S. Johnson",
	year=1979,
	publisher="W. H. Freeman and Company"
}

@inproceedings{RajkumarA2014neurips,
	title="Online decision-making in general combinatorial spaces",
	author="A. Rajkumar and S. Agarwal",
	booktitle=neurips,
	volume=27,
	pages="3482--3490",
	year=2014,
	address=venue-neurips-2014
}

@book{MatousekJ2002book,
	title="Lectures on discrete geometry",
	author="J. Matou\v{s}ek",
	volume=212,
	year=2002,
	publisher="Springer Science \& Business Media"
}

@misc{SharmaA2018kaggle,
	author="A. Sharma",
	title="Mobile Price Classification",
	howpublished="\url{https://www.kaggle.com/iabhishekofficial/mobile-price-classification}",
	note="Last accessed on 12/05/2021",
	year=2018
}

@misc{HolmesSP2004web,
	author="S. P. Holmes",
	title="How many different bootstrap samples are there?",
	howpublished="\url{http://statweb.stanford.edu/~susan/courses/s208/node11.html}",
	note="Last accessed on 25/05/2021",
	year=2004
}

@article{HastieT2017arxiv,
	title="Extended comparisons of best subset selection, forward stepwise selection, and the {Lasso}",
	author="T. Hastie and R. Tibshirani and R. J. Tibshirani",
	journal="{arXiv} preprint {arXiv}:1707.08692",
	year=2017
}

@inproceedings{KorovinaK2020aistats,
	title="{ChemBO}: {Bayesian} optimization of small organic molecules with synthesizable recommendations",
	author="K. Korovina and S. Xu and K. Kandasamy and W. Neiswanger and B. P{\'o}czos and J. Schneider and E. P. Xing",
	booktitle=aistats,
	pages="3393--3403",
	year=2020,
	address=venue-aistats-2020
}

@article{DurisJ2020phrl,
	title="{Bayesian} optimization of a free-electron laser",
	author="J. Duris and D. Kennedy and A. Hanuka and J. Shtalenkova and A. Edelen and P. Baxevanis and A. Egger and T. Cope and M. McIntire and S. Ermon and D. Ratner",
	journal=phrl,
	volume=124,
	number=12,
	pages="124801",
	year=2020
}

@inproceedings{GardnerJR2018neurips,
	title="{GPyTorch}: Blackbox matrix-matrix {Gaussian} process inference with {GPU} acceleration",
	author="J. R. Gardner and G. Pleiss and D. Bindel and K. Q. Weinberger and A. G. Wilson",
	booktitle=neurips,
	volume=31,
	pages="7576--7586",
	year=2018,
	address=venue-neurips-2018
}

@article{AbadiM2016arxiv,
	title="{TensorFlow}: Large-scale machine learning on heterogeneous distributed systems",
	author="M. Abadi and A. Agarwal and P. Barham and E. Brevdo and Z. Chen and C. Citro and G. S. Corrado and A. Davis and J. Dean and M. Devin and others",
	journal="{arXiv} preprint {arXiv}:1603.04467",
	year=2016
}

@article{VirtanenP2020nm,
	title="{SciPy} 1.0: fundamental algorithms for scientific computing in {Python}",
	author="P. Virtanen and R. Gommers and T. E. Oliphant and M. Haberland and T. Reddy and D. Cournapeau and E. Burovski and P. Peterson and W. Weckesser and J. Bright and others",
	journal="Nature Methods",
	volume=17,
	number=3,
	pages="261--272",
	year=2020
}

@article{HarrisCR2020nature,
	title="Array programming with {NumPy}",
	author="C. R. Harris and K. J. Millman and S. J. {van der Walt} and R. Gommers and P. Virtanen and D. Cournapeau and E. Wieser and J. Taylor and S. Berg and N. J. Smith and others",
	journal=nature,
	volume=585,
	number=7825,
	pages="357--362",
	year=2020
}

@inproceedings{AbadiM2016osdi,
	title="{TensorFlow}: A system for large-scale machine learning",
	author="M. Abadi and P. Barham and J. Chen and Z. Chen and A. Davis and J. Dean and M. Devin and S. Ghemawat and G. Irving and M. Isard and others",
	booktitle="USENIX Symposium on Operating Systems Design and Implementation (OSDI)",
	pages="265--283",
	year=2016,
	address="Savannah, Georgia, USA"
}

@article{HuangD2006jgo,
	title="Global optimization of stochastic black-box systems via sequential kriging meta-models",
	author="D. Huang and T. T. Allen and W. I. Notz and N. Zeng",
	journal=jgo,
	volume=34,
	number=3,
	pages="441--466",
	year=2006
}

@misc{HansenN2019software,
	author="N. Hansen and Y. Akimoto and P. Baudis",
	title="{CMA-ES/pycma} on {G}ithub",
	howpublished="\url{https://github.com/CMA-ES/pycma}",
	year=2019
}

@inproceedings{BalandatM2020neurips,
	author="M. Balandat and B. Karrer and D. R. Jiang and S. Daulton and B. Letham and A. G. Wilson and E. Bakshy",
	title="{BoTorch}: A Framework for Efficient {Monte-Carlo} {Bayesian} Optimization",
	booktitle=neurips,
	volume=33,
	year=2020,
	address=venue-neurips-2020
}

@article{KnuddeN2017arxiv,
	author="N. Knudde and J. {van der Herten} and T. Dhaene and I. Couckuyt",
	title="{GPflowOpt}: A {Bayesian} Optimization Library using {TensorFlow}",
	journal="{arXiv} preprint {arXiv}:1711.03845",
	year=2017
}

@misc{SurjanovicS2013simulationlib,
	author="S. Surjanovic and D. Bingham",
	title="Virtual Library of Simulation Experiments: Test Functions and Datasets",
	howpublished="\url{http://www.sfu.ca/~ssurjano}",
	year=2013
}

@inproceedings{ErikssonD2021aistats,
	title="Scalable Constrained {Bayesian} Optimization",
	author="D. Eriksson and M. Poloczek",
	booktitle=aistats,
	pages="730--738",
	year=2021
}

@inproceedings{ThompsonR2020neuripsw,
	author="R. Thompson and G. Elahe and T. {DeVries} and G. W. Taylor",
	title="Building {LEGO} Using Deep Generative Models of Graphs",
	booktitle="Neural Information Processing Systems Workshop on Machine Learning for Engineering Modeling, Simulation, and Design (ML4Eng)",
	year=2020,
	address=venue-neurips-2020
}

@inproceedings{BapstV2019icml,
	title="Structured agents for physical construction",
	author="V. Bapst and A. Sanchez-Gonzalez and C. Doersch and K. Stachenfeld and P. Kohli and P. Battaglia and J. Hamrick",
	booktitle=icml,
	pages="464--474",
	year=2019,
	address=venue-icml-2019
}

@inproceedings{NashC2020icml,
	title="{PolyGen}: An autoregressive generative model of {3D} meshes",
	author="C. Nash and Y. Ganin and S. M. A. Eslami and P. W. Battaglia",
	booktitle=icml,
	pages="7220--7229",
	year=2020,
	address=venue-icml-2020
}

@article{BattagliaPW2018arxiv,
	title="Relational inductive biases, deep learning, and graph networks",
	author="P. W. Battaglia and J. B. Hamrick and V. Bapst and A. Sanchez-Gonzalez and V. Zambaldi and M. Malinowski and A. Tacchetti and D. Raposo and A. Santoro and R. Faulkner and C. Gulcehre and F. Song and A. Ballard and J. Gilmer and G. Dahl and A. Vaswani and K. Allen and C. Nash and V. Langston and C. Dyer and N. Heess and D. Wierstra and P. Kohli and M. Botvinick and O. Vinyals and Y. Li and R. Pascanu",
	journal="{arXiv} preprint {arXiv}:1806.01261",
	year=2018
}

@book{HermanS2012book,
	title="Building a History: The {LEGO} Group",
	author="S. Herman",
	year=2012,
	publisher="Grub Street Publishers"
}

@inproceedings{SalakhutdinovRR2008icml,
	title="On the quantitative analysis of deep belief networks",
	author="R. R. Salakhutdinov and I. Murray",
	booktitle=icml,
	pages="872--879",
	year=2008,
	address="Helsinki, Finland"
}

@article{KushnerHJ1964jbe,
	author="H. J. Kushner",
	title="A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise",
	pages="97--106",
	journal="Journal of Basic Engineering",
	volume=86,
	number=1,
	year=1964
}

@article{MoriconiR2020ml,
	title="High-dimensional {Bayesian} optimization using low-dimensional feature spaces",
	author="R. Moriconi and M. P. Deisenroth and {K. S. S.} Kumar",
	journal=ml,
	volume=109,
	number=9,
	pages="1925--1943",
	year=2020
}

@inproceedings{NetzerY2011neuripsw,
	title="Reading Digits in Natural Images with Unsupervised Feature Learning",
	author="Y. Netzer and T. Wang and A. Coates and A. Bissacco and B. Wu and A. Y. Ng",
	booktitle="Neural Information Processing Systems Workshop on Deep Learning and Unsupervised Feature Learning",
	year=2011,
	address=venue-neurips-2011
}

@inproceedings{HernandezJM2015icml,
	title="Predictive entropy search for {Bayesian} optimization with unknown constraints",
	author="J. M. Hern{\'a}ndez-Lobato and M. A. Gelbart and M. Hoffman and R. P. Adams and Z. Ghahramani",
	booktitle=icml,
	pages="1699--1707",
	year=2015,
	address=venue-icml-2015
}

@inproceedings{LamR2017neurips,
	title="Lookahead {Bayesian} Optimization with Inequality Constraints",
	author="R. Lam and K. Willcox",
	booktitle=neurips,
	pages="1890--1900",
	year=2017,
	address=venue-neurips-2017
}

@article{LethamB2019ba,
	title="Constrained {Bayesian} optimization with noisy experiments",
	author="B. Letham and B. Karrer and G. Ottoni and E. Bakshy",
	journal="Bayesian Analysis",
	volume=14,
	number=2,
	pages="495--519",
	year=2019
}

@article{AriafarS2019jmlr,
	title="{ADMMBO}: {Bayesian} Optimization with Unknown Constraints using {ADMM}",
	author="S. Ariafar and J. Coll-Font and D. H. Brooks and J. G. Dy",
	journal=jmlr,
	volume=20,
	number=123,
	pages="1--26",
	year=2019
}

@inproceedings{OhC2018icml,
	title="{BOCK}: {Bayesian} optimization with cylindrical kernels",
	author="C. Oh and E. Gavves and M. Welling",
	booktitle=icml,
	pages="3868--3877",
	year=2018,
	address=venue-icml-2018
}

@article{BernardoJ2011bs,
	title="Optimization under unknown constraints",
	author="J. Bernardo and M. J. Bayarri and J. O. Berger and A. P. Dawid and D. Heckerman and A. F. M. Smith and M. West",
	journal="Bayesian Statistics",
	volume=9,
	number=9,
	pages=229,
	year=2011
}

@inproceedings{LethamB2020neurips,
	title="Re-Examining Linear Embeddings for High-Dimensional {Bayesian} Optimization",
	author="B. Letham and R. Calandra and A. Rai and E. Bakshy",
	booktitle=neurips,
	volume=33,
	year=2020,
	address=venue-neurips-2020
}

@article{ChenW2020arxiv,
	title="Adaptive expansion {Bayesian} optimization for unbounded global optimization",
	author="W. Chen and M. Fuge",
	journal="{arXiv} preprint {arXiv}:2001.04815",
	year=2020
}

@inproceedings{ShahriariB2016aistats,
	title="Unbounded {Bayesian} optimization via regularization",
	author="B. Shahriari and A. Bouchard-C{\^o}t{\'e} and N. {de Freitas}",
	booktitle=aistats,
	pages="1168--1176",
	year=2016,
	address=venue-aistats-2016
}

@inproceedings{HaH2019neurips,
	author="H. Ha and S. Rana and S. Gupta and T. Nguyen and H. Tran-The and S. Venkatesh",
	booktitle=neurips,
	pages="11795--11804",
	title="{Bayesian} Optimization with Unknown Search Space",
	volume=32,
	year=2019,
	address=venue-neurips-2019
}

@inproceedings{NguyenV2017icdm,
	title="{Bayesian} optimization in weakly specified search space",
	author="V. Nguyen and S. Gupta and S. Rane and C. Li and S. Venkatesh",
	booktitle=icdm,
	pages="347--356",
	year=2017,
	address=neworleans-usa
}

@inproceedings{ZhangM2019ijcai,
	title="High dimensional {Bayesian} optimization via supervised dimension reduction",
	author="M. Zhang and H. Li and S. Su",
	booktitle=ijcai,
	pages="4292--4298",
	year=2019,
	address="Macao, China"
}

@inproceedings{JainA2020uai,
	title="Locally Masked Convolution for Autoregressive Models",
	author="A. Jain and P. Abbeel and D. Pathak",
	booktitle=uai,
	pages="1358--1367",
	year=2020,
	address=venue-uai-2020
}

@article{ShieldsBJ2021nature,
	title="{Bayesian} reaction optimization as a tool for chemical synthesis",
	author="B. J. Shields and J. Stevens and J. Li and M. Parasram and F. Damani and J. I. M. Alvarado and J. M. Janey and R. P. Adams and A. G. Doyle",
	journal=nature,
	volume=590,
	pages="89--96",
	year=2021
}

@inproceedings{ChenX2018icml,
	title="{PixelSNAIL}: An improved autoregressive generative model",
	author="X. Chen and N. Mishra and M. Rohaninejad and P. Abbeel",
	booktitle=icml,
	pages="864--872",
	year=2018,
	address=venue-icml-2018
}

@article{FrazierPI2008siamjco,
	title="A knowledge-gradient policy for sequential information collection",
	author="P. I. Frazier and W. B. Powell and S. Dayanik",
	journal="SIAM Journal on Control and Optimization",
	volume=47,
	number=5,
	pages="2410--2439",
	year=2008
}

@article{FrazierPI2009informsjc,
	title="The knowledge-gradient policy for correlated normal beliefs",
	author="P. I. Frazier and W. B. Powell and S. Dayanik",
	journal="INFORMS Journal on Computing",
	volume=21,
	number=4,
	pages="599--613",
	year=2009
}

@inproceedings{ShiraishiT2020ecai,
	title="Topological {Bayesian} Optimization with Persistence Diagrams",
	author="T. Shiraishi and T. Le and H. Kashima and M. Yamada",
	booktitle="Proceedings of the European Conference on Artificial Intelligence (ECAI)",
	pages="1483--1490",
	year=2020,
	address=venue-virtual
}

@inproceedings{RealE2020icml,
	title="{AutoML-Zero}: evolving machine learning algorithms from scratch",
	author="E. Real and C. Liang and D. R. So and Q. V. Le",
	booktitle=icml,
	pages="8007--8019",
	year=2020,
	address=venue-icml-2020
}

@inproceedings{SchulzE2016neuripsw,
	title="Quantifying mismatch in {Bayesian} optimization",
	author="E. Schulz and M. Speekenbrink and J. M. Hern{\'a}ndez-Lobato and Z. Ghahramani and S. J. Gershman",
	booktitle=neuripsw-bo,
	year=2016,
	address=venue-neurips-2016
}

@inproceedings{YingC2019icml,
	title="{NAS-Bench-101}: Towards reproducible neural architecture search",
	author="C. Ying and A. Klein and E. Christiansen and E. Real and K. Murphy and F. Hutter",
	booktitle=icml,
	pages="7105--7114",
	year=2019,
	address=venue-icml-2019
}

@article{CandelieriA2018jgo,
	title="{Bayesian} optimization of pump operations in water distribution systems",
	author="A. Candelieri and R. Perego and F. Archetti",
	journal=jgo,
	volume=71,
	number=1,
	pages="213--235",
	year=2018
}

@inproceedings{BodinE2020icml,
	title="Modulating Surrogates for {Bayesian} Optimization",
	author="E. Bodin and M. Kaiser and I. Kazlauskaite and Z. Dai and N. Campbell and C. H. Ek",
	booktitle=icml,
	pages="970--979",
	year=2020,
	address=venue-icml-2020
}

@article{OHaganA1978jrssb,
	title="Curve fitting and optimal design for prediction",
	author="A. O'Hagan",
	journal=jrssb,
	volume=40,
	number=1,
	pages="1--42",
	year=1978
}

@misc{ShewchukJR1994misc,
	title="An introduction to the conjugate gradient method without the agonizing pain",
	author="J. R. Shewchuk",
	year=1994,
	publisher="Department of Computer Science, Carnegie Mellon University"
}

@article{HutterF2014ai,
	title="Algorithm runtime prediction: Methods \& evaluation",
	author="F. Hutter and L. Xu and H. H. Hoos and K. Leyton-Brown",
	journal="Artificial Intelligence",
	volume=206,
	pages="79--111",
	year=2014
}

@article{BreimanL1996ml,
	title="Bagging predictors",
	author="L. Breiman",
	journal=ml,
	volume=24,
	number=2,
	pages="123--140",
	year=1996
}

@article{ChipmanHA2010aas,
	title="{BART}: {Bayesian} additive regression trees",
	author="H. A. Chipman and E. I. George and R. E. McCulloch",
	journal="The Annals of Applied Statistics",
	volume=4,
	number=1,
	pages="266--298",
	year=2010
}

@inproceedings{DuanT2020icml,
	title="{NGBoost}: Natural gradient boosting for probabilistic prediction",
	author="T. Duan and A. Avati and D. Y. Ding and K. K. Thai and S. Basu and A. Ng and A. Schuler",
	booktitle=icml,
	pages="2690--2700",
	year=2020,
	address=venue-icml-2020
}

@article{BiauG2012jmlr,
	title="Analysis of a random forests model",
	author="G. Biau",
	journal=jmlr,
	volume=13,
	number=1,
	pages="1063--1095",
	year=2012
}

@article{GeurtsP2006ml,
	title="Extremely randomized trees",
	author="P. Geurts and D. Ernst and L. Wehenkel",
	journal=ml,
	volume=63,
	number=1,
	pages="3--42",
	year=2006
}

@article{MendelsonAF2016arxiv,
	title="What is the distribution of the number of unique original items in a bootstrap sample?",
	author="A. F. Mendelson and M. A. Zuluaga and B. F. Hutton and S. Ourselin",
	journal="{arXiv} preprint {arXiv}:1602.05822",
	year=2016
}

@article{SchulmanJ2017arxiv,
	title="Proximal policy optimization algorithms",
	author="J. Schulman and F. Wolski and P. Dhariwal and A. Radford and O. Klimov",
	journal="{arXiv} preprint {arXiv}:1707.06347",
	year=2017
}

@article{SchulmanJ2015arxiv,
	title="High-dimensional continuous control using generalized advantage estimation",
	author="J. Schulman and P. Moritz and S. Levine and M. I. Jordan and P. Abbeel",
	journal="{arXiv} preprint {arXiv}:1506.02438",
	year=2015
}

@article{CappartQ2021arxiv,
	title="Combinatorial optimization and reasoning with graph neural networks",
	author="Q. Cappart and D. Ch{\'e}telat and E. B. Khalil and A. Lodi and C. Morris and P. Veli{\v{c}}kovi{\'c}",
	journal="{arXiv} preprint {arXiv}:2102.09544",
	year=2021
}

@book{KorteB2018book,
	title="Combinatorial Optimization: Theory and Algorithms",
	author="B. Korte and J. Vygen",
	edition=6,
	year=2018,
	publisher="Springer"
}

@inproceedings{HeJ2016emnlp,
	title="Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular {Reddit} Threads",
	author="J. He and M. Ostendorf and X. He and J. Chen and J. Gao and L. Li and L. Deng",
	booktitle=emnlp,
	pages="1838--1848",
	year=2016,
	address=austin-usa
}

@inproceedings{ZahavyT2018neurips,
	title="Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning",
	author="T. Zahavy and M. Haroush and N. Merlis and D. J. Mankowitz and S. Mannor",
	booktitle=neurips,
	volume=31,
	pages="3562--3573",
	year=2018,
	address=venue-neurips-2018
}

@inproceedings{TangC2018neurips,
	title="When do random forests fail?",
	author="C. Tang and D. Garreau and U. {von Luxburg}",
	booktitle=neurips,
	volume=31,
	pages="2987--2997",
	year=2018,
	address=venue-neurips-2018
}

@inproceedings{ChenT2016kdd,
	title="{XGBoost}: A scalable tree boosting system",
	author="T. Chen and C. Guestrin",
	booktitle=kdd,
	pages="785--794",
	year=2016,
	address=sanfrancisco-usa
}

@article{NatekinA2013fin,
	title="Gradient boosting machines, a tutorial",
	author="A. Natekin and A. Knoll",
	journal="Frontiers in neurorobotics",
	volume=7,
	pages=21,
	year=2013
}

@article{LouppeG2014arxiv,
	title="Understanding random forests: From theory to practice",
	author="G. Louppe",
	journal="{arXiv} preprint {arXiv}:1407.7502",
	year=2014
}

@inproceedings{KeG2017neurips,
	title="{LightGBM}: A highly efficient gradient boosting decision tree",
	author="G. Ke and Q. Meng and T. Finley and T. Wang and W. Chen and W. Ma and Q. Ye and T-Y. Liu",
	booktitle=neurips,
	volume=30,
	pages="3146--3154",
	year=2017,
	address=venue-neurips-2017
}

@book{ZhouZH2012book,
	title="Ensemble methods: foundations and algorithms",
	author="Z-H. Zhou",
	year=2012,
	publisher="CRC Press"
}

@article{FeurerM2020arxiv,
	title="{Auto-Sklearn} 2.0: Hands-free {AutoML} via Meta-Learning",
	author="M. Feurer and K. Eggensperger and S. Falkner and M. Lindauer and F. Hutter",
	journal="{arXiv} preprint {arXiv}:2007.04074",
	year=2020
}

@inproceedings{YapBW2014daeng,
	title="An application of oversampling, undersampling, bagging and boosting in handling imbalanced datasets",
	author="B. W. Yap and K. {Abd Rani} and H. A. {Abd Rahman} and S. Fong and Z. Khairudin and N. N. Abdullah",
	booktitle="Proceedings of the First International Conference on Advanced Data and Information Engineering (DaEng)",
	pages="13--22",
	year=2014,
	address="Kuala Lumpur, Malaysia"
}

@article{PerezM2015ieeennls,
	title="Oversampling the minority class in the feature space",
	author="M. P{\'e}rez-Ortiz and P. A. Guti{\'e}rrez and P. Tino and C. Herv{\'a}s-Mart{\'\i}nez",
	journal=ieeetnnls,
	volume=27,
	number=9,
	pages="1947--1961",
	year=2015
}

@inproceedings{YanY2019aaai,
	title="Oversampling for imbalanced data via optimal transport",
	author="Y. Yan and M. Tan and Y. Xu and J. Cao and M. Ng and H. Min and Q. Wu",
	booktitle=aaai,
	pages="5605--5612",
	year=2019,
	address=venue-aaai-2019
}

@inproceedings{LiaoR2019neurips,
	title="Efficient Graph Generation with Graph Recurrent Attention Networks",
	author="R. Liao and Y. Li and Y. Song and S. Wang and C. Nash and W. L. Hamilton and D. Duvenaud and R. Urtasun and R. Zemel",
	booktitle=neurips,
	volume=32,
	year=2019,
	address=venue-neurips-2019
}

@phdthesis{GalY2016phd,
	author="Y. Gal",
	title="Uncertainty in deep learning",
	school="University of Cambridge",
	year=2016
}

@article{MmalininA2020arxiv,
	title="Uncertainty in gradient boosting via ensembles",
	author="A. Malinin and L. Prokhorenkova and A. Ustimenko",
	journal="{arXiv} preprint {arXiv}:2006.10562",
	year=2020
}

@article{VanschorenJ2013sigkdden,
	title="{OpenML}: networked science in machine learning",
	author="J. Vanschoren and J. N. {van Rijn} and B. Bischl and L. Torgo",
	journal="ACM SIGKDD Explorations Newsletter",
	volume=15,
	number=2,
	pages="49--60",
	year=2013
}

@book{HutterF2019book,
	title="Automated machine learning: methods, systems, challenges",
	author="F. Hutter and L. Kotthoff and J. Vanschoren",
	year=2019,
	publisher="Springer Nature"
}

@inproceedings{ChenW2013icml,
	title="Combinatorial multi-armed bandit: General framework and applications",
	author="W. Chen and Y. Wang and Y. Yuan",
	booktitle=icml,
	pages="151--159",
	year=2013,
	address=venue-icml-2013
}

@inproceedings{MossHB2020neurips,
	title="{BOSS}: {Bayesian} Optimization over String Spaces",
	author="H. B. Moss and D. Beck and J. Gonz{\'a}lez and D. S. Leslie and P. Rayson",
	booktitle=neurips,
	volume=33,
	pages="15476--15486",
	year=2020,
	address=venue-neurips-2020
}

@article{NyikosaFM2018arxiv,
	title="{Bayesian} optimization for dynamic problems",
	author="F. M. Nyikosa and M. A. Osborne and S. J. Roberts",
	journal="{arXiv} preprint {arXiv}:1803.03432",
	year=2018
}

@inproceedings{DadkhahiH2020kdd,
	title="Combinatorial black-box optimization with expert advice",
	author="H. Dadkhahi and K. Shanmugam and J. Rios and P. Das and S. C. Hoffman and T. D. Loeffler and S. Sankaranarayanan",
	booktitle=kdd,
	pages="1918--1927",
	year=2020,
	address=venue-virtual
}

@inproceedings{DeshwalA2021aaai,
	title="Mercer Features for Efficient Combinatorial {Bayesian} Optimization",
	author="A. Deshwal and S. Belakaria and J. R. Doppa",
	booktitle=aaai,
	pages="7210--7218",
	year=2021,
	address=venue-aaai-2021
}

@book{SlocumJ2003book,
	title="Tangram: The World's First Puzzle Craze",
	author="J. Slocum",
	year=2003,
	publisher="Sterling"
}

@article{LodiA2002ejor,
	title="Two-dimensional packing problems: A survey",
	author="A. Lodi and S. Martello and M. Monaci",
	journal="European Journal of Operational Research",
	volume=141,
	number=2,
	pages="241--252",
	year=2002
}

@article{SanchesCAA2009amc,
	title="A polynomial-time {DNA} computing solution for the Bin-Packing Problem",
	author="C. A. A. Sanches and N. Y. Soma",
	journal="Applied Mathematics and Computation",
	volume=215,
	number=6,
	pages="2055--2062",
	year=2009
}

@article{TorsvikTH2003science,
	title="The {Rodinia} jigsaw puzzle",
	author="T. H. Torsvik",
	journal=science,
	volume=300,
	number=5624,
	pages="1379--1381",
	year=2003
}

@article{DerechN2018arxiv,
	title="Solving archaeological puzzles",
	author="N. Derech and A. Tal and I. Shimshoni",
	journal="arXiv preprint arXiv:1812.10553",
	year=2018
}

@inproceedings{NorooziM2016eccv,
	title="Unsupervised learning of visual representations by solving jigsaw puzzles",
	author="M. Noroozi and P. Favaro",
	booktitle=eccv,
	pages="69--84",
	year=2016,
	address=venue-eccv-2016
}

@article{CoffmanEG1996survey,
	title="Approximation algorithms for bin packing: A survey",
	author="E. G. Coffman and M. R. Garey and D. S. Johnson",
	journal="Approximation Algorithms for NP-hard Problems",
	pages="46--93",
	year=1996
}

@book{BrownAR1971book,
	title="Optimum packing and depletion",
	author="A. R. Brown",
	year=1971,
	publisher="Macdonald and Co.; New York, American Elsevier"
}

@inproceedings{ChoTS2010cvpr,
	title="A probabilistic image jigsaw puzzle solver",
	author="T. S. Cho and S. Avidan and W. T. Freeman",
	booktitle=cvpr,
	pages="183--190",
	year=2010,
	address=venue-cvpr-2010
}

@techreport{SchumacherR1969techreport,
	title="Study for applying computer-generated images to visual simulation",
	author="R. Schumacher",
	number="AFHRL-TR-69-14",
	year=1969,
	institution="Air Force Human Resources Laboratory, Air Force Systems Command"
}

@article{ChazelleB1983ieeetc,
	title="The bottomn-left bin-packing heuristic: An efficient implementation",
	author="B. Chazelle",
	journal=ieeetc,
	volume="C-32",
	number=8,
	pages="697--707",
	year=1983
}


@article{PincusM1970or,
	title="Letter to the editor -- a {Monte Carlo} method for the approximate solution of certain types of constrained optimization problems",
	author="M. Pincus",
	journal=opres,
	volume=18,
	number=6,
	pages="1225--1228",
	year=1970
}

@article{LiJ2020tpami,
	title="{LayoutGAN}: Synthesizing Graphic Layouts with Vector-Wireframe Adversarial Networks",
	author="J. Li and J. Yang and A. Hertzmann and J. Zhang and T. Xu",
	journal=ieeetpami,
	year=2020
}

@article{GuttenbergN2016arxiv,
	title="Permutation-equivariant neural networks applied to dynamics prediction",
	author="N. Guttenberg and N. Virgo and O. Witkowski and H. Aoki and R. Kanai",
	journal="arXiv preprint arXiv:1612.04530",
	year=2016
}

@article{KurantM2011ieeejsac,
	title="Towards unbiased {BFS} sampling",
	author="M. Kurant and A. Markopoulou and P. Thiran",
	journal="IEEE Journal on Selected Areas in Communications",
	volume=29,
	number=9,
	pages="1799--1809",
	year=2011
}

@inproceedings{ZakkaK2020icra,
	title="{Form2Fit}: Learning shape priors for generalizable assembly from disassembly",
	author="K. Zakka and A. Zeng and J. Lee and S. Song",
	booktitle=icra,
	pages="9404--9410",
	year=2020,
	address=venue-virtual
}

@inproceedings{GoyalA2020icml,
	title="{PackIt}: A virtual environment for geometric planning",
	author="A. Goyal and J. Deng",
	booktitle=icml,
	pages="3700--3710",
	year=2020,
	address=venue-icml-2020
}

@inproceedings{KrauseA2011neurips,
	title="Contextual {Gaussian} process bandit optimization",
	author="A. Krause and C. S. Ong",
	booktitle=neurips,
	pages="2447--2455",
	year=2011,
	address=venue-neurips-2011
}

@inproceedings{VinyalsO2015neurips,
	title="Pointer networks",
	author="O. Vinyals and M. Fortunato and N. Jaitly",
	booktitle=neurips,
	volume=28,
	pages="2692--2700",
	year=2015,
	address=venue-neurips-2015
}

@inproceedings{HamrickJB2018cogsci,
	title="Relational inductive bias for physical construction in humans and machines",
	author="J. B. Hamrick and K. R. Allen and V. Bapst and T. Zhu and K. R. McKee and J. B. Tenenbaum and P. W. Battaglia",
	booktitle=cogsci,
	pages="1773--1778",
	year=2018,
	address=madison-usa
}

@inproceedings{LiY2020eccv,
	title="Learning {3D} part assembly from a single image",
	author="Y. Li and K. Mo and L. Shao and M. Sung and L. J. Guibas",
	booktitle=eccv,
	pages="664--682",
	year=2020,
	address=venue-eccv-2020
}

@inproceedings{HanW2020cvpr,
	title="{SPARE3D}: A Dataset for {SPAtial} {REasoning} on Three-View Line Drawings",
	author="W. Han and S. Xiang and C. Liu and R. Wang and C. Feng",
	booktitle=cvpr,
	pages="14690--14699",
	year=2020,
	address=venue-cvpr-2020
}

@inproceedings{LakeB2011cogsci,
	title="One shot learning of simple visual concepts",
	author="B. Lake and R. Salakhutdinov and J. Gross and J. Tenenbaum",
	booktitle=cogsci,
	year="2011",
	pages="2568--2573",
	address=boston-usa
}

@inproceedings{BlalockD2021icml,
	title="Multiplying Matrices Without Multiplying",
	author="D. Blalock and J. Guttag",
	booktitle=icml,
	pages="992--1004",
	year=2021,
	address=venue-icml-2021
}

@article{JegouH2011ieeetpami,
	title="Product quantization for nearest neighbor search",
	author="H. J{\'e}gou and M. Douze and C. Schmid",
	journal=ieeetpami,
	volume=33,
	number=1,
	pages="117--128",
	year=2011
}

@article{HoffmanDD1984cog,
	title="Parts of recognition",
	author="D. D. Hoffman and W. A. Richards",
	journal="Cognition",
	volume=18,
	number="1-3",
	pages="65--96",
	year=1984
}

@inproceedings{HuberD2004cvpr,
	title="Parts-based {3D} object classification",
	author="D. Huber and A. Kapuria and R. Donamukkala and M. Hebert",
	booktitle=cvpr,
	pages="82--89",
	year=2004,
	address=venue-cvpr-2004
}

@inproceedings{AleottiJ2011icra,
	title="Part-based robot grasp planning from human demonstration",
	author="J. Aleotti and S. Caselli",
	booktitle=icra,
	pages="4554--4560",
	year=2011,
	address="Shanghai, China"
}

@inproceedings{MoK2019cvpr,
	title="{PartNet}: A large-scale benchmark for fine-grained and hierarchical part-level {3D} object understanding",
	author="K. Mo and S. Zhu and A. X. Chang and L. Yi and S. Tripathi and L. J. Guibas and H. Su",
	booktitle=cvpr,
	pages="909--918",
	year=2019,
	address=venue-cvpr-2019
}

@article{DosovitskiyA2016ieeetpami,
	title="Learning to generate chairs, tables and cars with convolutional networks",
	author="A. Dosovitskiy and J. T. Springenberg and M. Tatarchenko and T. Brox",
	journal=ieeetpami,
	volume=39,
	number=4,
	pages="692--705",
	year=2016
}

@inproceedings{YouJ2018icml,
	title="{GraphRNN}: Generating realistic graphs with deep auto-regressive models",
	author="J. You and R. Ying and X. Ren and W. Hamilton and J. Leskovec",
	booktitle=icml,
	pages="5708--5717",
	year=2018,
	address=venue-icml-2018
}

@article{LiY2018arxiv,
	title="Learning deep generative models of graphs",
	author="Y. Li and O. Vinyals and C. Dyer and R. Pascanu and P. W. Battaglia",
	journal="{arXiv} preprint {arXiv}:1803.03324",
	year=2018
}

@article{DeCaoN2018arxiv,
	title="{MolGAN}: An implicit generative model for small molecular graphs",
	author="N. {De Cao} and T. Kipf",
	journal="{arXiv} preprint {arXiv}:1805.11973",
	year=2018
}

@article{SamantaB2020jmlr,
	title="{NeVAE}: A deep generative model for molecular graphs",
	author="B. Samanta and A. De and G. Jana and V. G{\'o}mez and P. Chattaraj and N. Ganguly and M. Gomez-Rodriguez",
	journal=jmlr,
	volume=21,
	number=114,
	pages="1--33",
	year=2020
}

@inproceedings{HuangZ2019iccv,
	title="Learning to paint with model-based deep reinforcement learning",
	author="Z. Huang and W. Heng and S. Zhou",
	booktitle=iccv,
	pages="8709--8718",
	year=2019,
	address=venue-iccv-2019
}

@inproceedings{NairAV2018neurips,
	title="Visual Reinforcement Learning with Imagined Goals",
	author="A. V. Nair and V. Pong and M. Dalal and S. Bahl and S. Lin and S. Levine",
	booktitle=neurips,
	volume=31,
	pages="9191--9200",
	year=2018,
	address=venue-neurips-2018
}

@inproceedings{GaninY2018icml,
	title="Synthesizing programs for images using reinforced adversarial learning",
	author="Y. Ganin and T. Kulkarni and I. Babuschkin and S. M. A. Eslami and O. Vinyals",
	booktitle=icml,
	pages="1666--1675",
	year=2018,
	address=venue-icml-2018
}

@inproceedings{SimmG2020icml_a,
	title="A Generative Model for Molecular Distance Geometry",
	author="G. Simm and J. M. Hern{\'a}ndez-Lobato",
	booktitle=icml,
	pages="8949--8958",
	year=2020,
	address=venue-icml-2020
}

@inproceedings{SimmG2020icml_b,
	title="Reinforcement learning for molecular design guided by quantum mechanics",
	author="G. Simm and R. Pinsler and J. M. Hern{\'a}ndez-Lobato",
	booktitle=icml,
	pages="8959--8969",
	year=2020,
	address=venue-icml-2020
}

@inproceedings{JinW2018icml,
	title="Junction tree variational autoencoder for molecular graph generation",
	author="W. Jin and R. Barzilay and T. Jaakkola",
	booktitle=icml,
	pages="2323--2332",
	year=2018,
	address=venue-icml-2018
}

@inproceedings{YangG2019iccv,
	title="{PointFlow}: {3D} point cloud generation with continuous normalizing flows",
	author="G. Yang and X. Huang and Z. Hao and {M.-Y.} Liu and S. Belongie and B. Hariharan",
	booktitle=iccv,
	pages="4541--4550",
	year=2019,
	address=venue-iccv-2019
}

@article{ZhangM2017cada,
	author="M. Zhang and Y. Igarashi and Y. Kanamori and J. Mitani",
	title="Component-based building instructions for block assembly",
	journal="Computer-Aided Design and Applications",
	volume=14,
	number=3,
	pages="293--300",
	year=2017
}

@book{GarnettR2022book,
	author="R. Garnett",
	title="{Bayesian Optimization}",
	year=2022,
	publisher="Cambridge University Press",
	note="In preparation"
}

@inproceedings{YangB2019neurips,
	title="Learning Object Bounding Boxes for {3D} Instance Segmentation on Point Clouds",
	author="B. Yang and J. Wang and R. Clark and Q. Hu and S. Wang and A. Markham and N. Trigoni",
	booktitle=neurips,
	volume=32,
	pages="6740--6749",
	year=2019
}

@inproceedings{TurnerR2020neuripscd,
	title="{Bayesian} optimization is superior to random search for machine learning hyperparameter tuning: Analysis of the black-box optimization challenge 2020",
	author="R. Turner and D. Eriksson and M. McCourt and J. Kiili and E. Laaksonen and Z. Xu and I. Guyon",
	booktitle="Proceedings of the NeurIPS 2020 Competition and Demonstration Track",
	pages="3--26",
	year=2020,
	address=venue-neurips-2020
}

@inproceedings{HansenN2010gecco,
	title="Comparing results of 31 algorithms from the black-box optimization benchmarking {BBOB-2009}",
	author="N. Hansen and A. Auger and R. Ros and S. Finck and P. Po{\v{s}}{\'\i}k",
	booktitle=gecco,
	pages="1689--1696",
	year=2010,
	address=portland-usa
}

@article{HansenN2006tnec,
	title="The {CMA} evolution strategy: a comparing review",
	author="N. Hansen",
	journal="Towards a new evolutionary computation",
	pages="75--102",
	year=2006
}

@article{ThompsonWR1933biometrika,
	title="On the likelihood that one unknown probability exceeds another in view of the evidence of two samples",
	author="W. R. Thompson",
	journal="Biometrika",
	volume=25,
	number="3/4",
	pages="285--294",
	year=1933
}

@article{StornR1997jgo,
	title="Differential evolution--a simple and efficient heuristic for global optimization over continuous spaces",
	author="R. Storn and K. Price",
	journal=jgo,
	volume=11,
	number=4,
	pages="341--359",
	year=1997
}

@book{BerryDA1985book,
	title="Bandit problems: sequential allocation of experiments",
	author="D. A. Berry and B. Fristedt",
	year=1985,
	publisher="Springer",
	note="Monographs on statistics and applied probability"
}

@inproceedings{TiaoLC2021icml,
	title="{BORE}: {Bayesian} Optimization by Density-Ratio Estimation",
	author="L. C. Tiao and A. Klein and M. Seeger and E. V. Bonilla and C. Archambeau and F. Ramos",
	booktitle=icml,
	pages="10289--10300",
	year=2021,
	address=venue-icml-2021
}

@inproceedings{FukunagaA2002aaai,
	title="Automated discovery of composite {SAT} variable-selection heuristics",
	author="A. Fukunaga",
	booktitle=aaai,
	pages="641--648",
	year=2002,
	address=venue-aaai-2002
}

@misc{CoumansE2019pybullet,
	author="E. Coumans and Y. Bai",
	title="{PyBullet}, a {Python} module for physics simulation for games, robotics and machine learning",
	howpublished="\url{http://pybullet.org}",
	year="2016--2019"
}

@inproceedings{WeiH2010icra,
	title="Sambot: A self-assembly modular robot for swarm robot",
	author="H. Wei and Y. Cai and H. Li and D. Li and T. Wang",
	booktitle=icra,
	pages="66--71",
	year=2010,
	address="Anchorage, Alaska, USA"
}

@article{WhitesidesGM2002science,
	title="Self-assembly at all scales",
	author="G. M. Whitesides and B. Grzybowski",
	journal=science,
	volume=295,
	number=5564,
	pages="2418--2421",
	year=2002
}

@article{HartgerinkJD2001science,
	title="Self-assembly and mineralization of peptide-amphiphile nanofibers",
	author="J. D. Hartgerink and E. Beniash and S. I. Stupp",
	journal=science,
	volume=294,
	number=5547,
	pages="1684--1688",
	year=2001
}

@inproceedings{PollardT2007cvpr,
	title="Change detection in a 3-d world",
	author="T. Pollard and J. L. Mundy",
	booktitle=cvpr,
	pages="1--6",
	year=2007,
	address=venue-cvpr-2007
}

@inproceedings{RomanishinJW2013iros,
	title="M-blocks: Momentum-driven, magnetic modular robots",
	author="J. W. Romanishin and K. Gilpin and D. Rus",
	booktitle=iros,
	pages="4288--4295",
	year=2013,
	address="Tokyo, Japan"
}

@inproceedings{FeltonSM2013icra,
	title="Robot self-assembly by folding: A printed inchworm robot",
	author="S. M. Felton and M. T. Tolley and C. D. Onal and D. Rus and R. J. Wood",
	booktitle=icra,
	pages="277--282",
	year=2013,
	address="Karlsruhe, Germany"
}

@article{RubensteinM2014science,
	title="Programmable self-assembly in a thousand-robot swarm",
	author="M. Rubenstein and A. Cornejo and R. Nagpal",
	journal=science,
	volume=345,
	number=6198,
	pages="795--799",
	year=2014
}

@article{GaoL2019arxiv,
	title="{SDM-NET}: Deep generative network for structured deformable mesh",
	author="L. Gao and J. Yang and T. Wu and {Y.-J.} Yuan and H. Fu and {Y.-K.} Lai and H. Zhang",
	journal="{arXiv} preprint {arXiv}:1908.04520",
	year=2019
}

@article{PyzerKnappEO2018ibm,
	title="{Bayesian} optimization for accelerated drug discovery",
	author="E. O. Pyzer-Knapp",
	journal="IBM Journal of Research and Development",
	volume=62,
	number=6,
	pages="2:1--2:7",
	year=2018
}

@article{PriceWL1977cj,
	title="A controlled random search procedure for global optimisation",
	author="W. L. Price",
	journal="The Computer Journal",
	volume=20,
	number=4,
	pages="367--370",
	year=1977
}

@article{PriceWL1983jota,
	title="Global optimization by controlled random search",
	author="W. L. Price",
	journal="Journal of Optimization Theory and Applications",
	volume=40,
	number=3,
	pages="333--348",
	year=1983
}

@article{BrooksSH1958or,
	title="A discussion of random methods for seeking maxima",
	author="S. H. Brooks",
	journal="Operations Research",
	volume=6,
	number=2,
	pages="244--251",
	year=1958
}

@article{MasriSF1980amc,
	title="A global optimization algorithm using adaptive random search",
	author="S. F. Masri and G. A. Bekey and F. B. Safford",
	journal="Applied Mathematics and Computation",
	volume=7,
	number=4,
	pages="353--375",
	year=1980
}

@article{Rastrigin1LA963arc,
	title="The convergence of the random search method in the extremal control of a many parameter system",
	author="L. A. Rastrigin",
	journal="Automaton and Remote Control",
	volume=24,
	pages="1337--1342",
	year=1963
}

@book{RechenbergI1973book,
	author="I. Rechenberg",
	title="Evolutionsstrategie - Optimierung technischer Systeme nach Prinzipien der biologischen Evolution",
	publisher="Frommann-Holzboog",
	year=1973
}

@book{SchwefelHP1977book,
	title="Numerische Optimierung von Computer-Modellen mittels der Evolutionsstrategie",
	author="{H.-P.} Schwefel",
	year=1977,
	publisher="Birkh{\"a}user"
}

@techreport{FinkelDE2004techreport,
	title="Convergence analysis of the {DIRECT} algorithm",
	author="D. E. Finkel and C. T. Kelley",
	year=2004,
	institution="North Carolina State University. Center for Research in Scientific Computation"
}

@incollection{HansenP1995book,
	title="{Lipschitz} optimization",
	author="P. Hansen and B. Jaumard",
	booktitle="Handbook of global optimization",
	pages="407--493",
	year="1995",
	publisher="Springer"
}

@article{JonesDR2021jgo,
	title="The {DIRECT} algorithm: 25 years Later",
	author="D. R. Jones and J. R. R. A. Martins",
	journal=jgo,
	volume=79,
	number=3,
	pages="521--566",
	year=2021
}

@article{KirkpatrickS1983science,
	title="Optimization by simulated annealing",
	author="S. Kirkpatrick and C. D. Gelatt and M. P. Vecchi",
	journal=science,
	volume=220,
	number=4598,
	pages="671--680",
	year=1983
}

@article{NelderJA1965cj,
	title="A simplex method for function minimization",
	author="J. A. Nelder and R. Mead",
	journal="The Computer Journal",
	volume=7,
	number=4,
	pages="308--313",
	year=1965
}

@inproceedings{HernandezLobatoJM2014neurips,
	title="Predictive Entropy Search for Efficient Global Optimization of Black-box Functions",
	author="J. M. Hern{\'a}ndez-Lobato and M. W. Hoffman and Z. Ghahramani",
	booktitle=neurips,
	volume=27,
	pages="918--926",
	year=2014,
	address=venue-neurips-2014
}

@inproceedings{HoffmanM2011uai,
	title="Portfolio Allocation for {Bayesian} Optimization",
	author="M. Hoffman and E. Brochu and N. {de Freitas}",
	booktitle=uai,
	pages="327--336",
	year=2011,
	address=barcelona-spain
}

@inproceedings{ShahA2014aistats,
	title="{Student}-t processes as alternatives to {Gaussian} processes",
	author="A. Shah and A. G. Wilson and Z. Ghahramani",
	booktitle=aistats,
	pages="877--885",
	year=2014,
	address=venue-aistats-2014
}

@article{HallM2009kdden,
	title="The {WEKA} data mining software: an update",
	author="M. Hall and E. Frank and G. Holmes and B. Pfahringer and P. Reutemann and I. H. Witten",
	journal="ACM SIGKDD Explorations Newsletter",
	volume=11,
	number=1,
	pages="10--18",
	year=2009
}

@article{KotthoffL2017jmlr,
	title="{Auto-WEKA} 2.0: Automatic model selection and hyperparameter optimization in {WEKA}",
	author="L. Kotthoff and C. Thornton and H. H. Hoos and F. Hutter and K. {Leyton-Brown}",
	journal=jmlr,
	volume=18,
	pages="1--5",
	year=2017
}

@article{ChoiSCT2021arxiv,
	title="Quasi-{Monte Carlo} Software",
	author="S.-C. T. Choi and F. J. Hickernell and R. Jagadeeswaran and M. McCourt and A. G. Sorokin",
	journal="arXiv preprint arXiv:2102.07833",
	year=2021
}

@inproceedings{BorovitskiyV2021aistats,
	title="Mat{\'e}rn {Gaussian} processes on graphs",
	author="V. Borovitskiy and I. Azangulov and A. Terenin and P. Mostowsky and M. P. Deisenroth and N. Durrande",
	booktitle=aistats,
	pages="2593--2601",
	year=2021,
	address=venue-aistats-2021
}

@article{PinderT2021arxiv,
	title="{Gaussian} Processes on Hypergraphs",
	author="T. Pinder and K. Turnbull and C. Nemeth and D. Leslie",
	journal="arXiv preprint arXiv:2106.01982",
	year=2021
}

@inproceedings{VenkitaramanA2020icassp,
	title="{Gaussian} processes over graphs",
	author="A. Venkitaraman and S. Chatterjee and P. Handel",
	booktitle=icassp,
	pages="5640--5644",
	year=2020,
	address=venue-virtual
}

@inproceedings{BeckD2017ijcnlp,
	title="Learning kernels over strings using {Gaussian} processes",
	author="D. Beck and T. Cohn",
	booktitle="Proceedings of the International Joint Conference on Natural Language Processing",
	pages="67--73",
	year=2017,
	address="Taipei, Taiwan",
	note="Short Papers"
}

@inproceedings{WangZ2018neurips,
	title="Regret bounds for meta {Bayesian} optimization with an unknown {Gaussian} process prior",
	author="Z. Wang and B. Kim and L. P. Kaelbling",
	booktitle=neurips,
	volume=31,
	pages="10477--10488",
	year=2018,
	address=venue-neurips-2018
}

@article{WangZ2021arxiv,
	title="Automatic prior selection for meta {Bayesian} optimization with a case study on tuning deep neural network optimizers",
	author="Z. Wang and G. E. Dahl and K. Swersky and C. Lee and Z. Mariet and Z. Nado and J. Gilmer and J. Snoek and Z. Ghahramani",
	journal="arXiv preprint arXiv:2109.08215",
	year=2021
}

@article{ErikssonD2019arxiv,
	title="{pySOT} and {POAP}: An event-driven asynchronous framework for surrogate optimization",
	author="D. Eriksson and D. Bindel and C. A. Shoemaker",
	journal="arXiv preprint arXiv:1908.00420",
	year=2019
}

@inproceedings{NaeemMF2020icml,
	title="Reliable fidelity and diversity metrics for generative models",
	author="M. F. Naeem and S. J. Oh and Y. Uh and Y. Choi and J. Yoo",
	booktitle=icml,
	pages="7176--7185",
	year=2020,
	address=venue-icml-2020
}

@article{SevillaJ2022arxiv,
	title="Compute Trends Across Three Eras of Machine Learning",
	author="J. Sevilla and L. Heim and A. Ho and T. Besiroglu and M. Hobbhahn and P. Villalobos",
	journal="arXiv preprint arXiv:2202.05924",
	year=2022
}

@book{RusselSJ2010book,
	author="S. J. Russell and P. Norvig",
	title="Artificial Intelligence: A Modern Approach",
	publisher="Pearson Education",
	edition=3,
	year=2010
}

@inproceedings{KrizhevskyA2012neurips,
	title="{ImageNet} classification with deep convolutional neural networks",
	author="A. Krizhevsky and I. Sutskever and G. E. Hinton",
	booktitle=neurips,
	volume=25,
	year=2012,
	address=venue-neurips-2012
}

@inproceedings{KalchbrennerN2013emnlp,
	title="Recurrent continuous translation models",
	author="N. Kalchbrenner and P. Blunsom",
	booktitle=emnlp,
	pages="1700--1709",
	year=2013
}

@inproceedings{SutskeverI2014neurips,
	title="Sequence to sequence learning with neural networks",
	author="I. Sutskever and O. Vinyals and Q. V. Le",
	booktitle=neurips,
	volume=27,
	year=2014,
	address=venue-neurips-2014
}

@inproceedings{GravesA2013icassp,
	title="Speech recognition with deep recurrent neural networks",
	author="A. Graves and {A.-r.} Mohamed and G. E. Hinton",
	booktitle=icassp,
	pages="6645--6649",
	year=2013
}

@article{MentchL2016jmlr,
	title="Quantifying uncertainty in random forests via confidence intervals and hypothesis tests",
	author="L. Mentch and G. Hooker",
	journal=jmlr,
	volume=17,
	number=1,
	pages="841--881",
	year=2016
}

@inproceedings{SchmidtRM2021icml,
	title="Descending through a Crowded Valley -- Benchmarking Deep Learning Optimizers",
	author="R. M. Schmidt and F. Schneider and P. Hennig",
	booktitle=icml,
	pages="9367--9376",
	year=2021,
	address=venue-icml-2021
}

@article{LindauerM2022jmlr,
	title="{SMAC3}: A versatile {Bayesian} optimization package for hyperparameter optimization",
	author="M. Lindauer and K. Eggensperger and M. Feurer and A. Biedenkapp and D. Deng and C. Benjamins and T. Ruhkopf and R. Sass and F. Hutter",
	journal=jmlr,
	volume=23,
	number=54,
	pages="1--9",
	year=2022
}

@inproceedings{PaszkeA2019neurips,
	title="{PyTorch}: An imperative style, high-performance deep learning library",
	author="A. Paszke and S. Gross and F. Massa and A. Lerer and J. Bradbury and G. Chanan and T. Killeen and Z. Lin and N. Gimelshein and L. Antiga and A. Desmaison and A. {K\"{o}pf} and E. Yang and Z. DeVito and M. Raison and A. Tejani and S. Chilamkurthy and B. Steiner and L. Fang and J. Bai and S. Chintala",
	booktitle=neurips,
	volume=32,
	year=2019,
	address=venue-neurips-2019
}

@article{RussakovskyO2015ijcv,
	title="{ImageNet} large scale visual recognition challenge",
	author="O. Russakovsky and J. Deng and H. Su and J. Krause and S. Satheesh and S. Ma and Z. Huang and A. Karpathy and A. Khosla and M. Bernstein and A. C. Berg and L. {Fei-Fei}",
	journal=ijcv,
	volume=115,
	number=3,
	pages="211--252",
	year=2015
}

@inproceedings{SunC2017iccv,
	title="Revisiting unreasonable effectiveness of data in deep learning era",
	author="C. Sun and A. Shrivastava and S. Singh and A. Gupta",
	booktitle=iccv,
	pages="843--852",
	year=2017,
	address=venue-iccv-2017
}

@article{ZhaiX2021arxiv,
	author="X. Zhai and A. Kolesnikov and N. Houlsby and L. Beyer",
	title="Scaling Vision Transformers",
	journal="{arXiv} preprint {arXiv}:2106.04560",
	year=2021
}

@inproceedings{ChangpinyoS2021cvpr,
	title="{Conceptual 12M}: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts",
	author="S. Changpinyo and P. Sharma and N. Ding and R. Soricut",
	booktitle=cvpr,
	year=2021,
	address=venue-cvpr-2021
}

@inproceedings{SharmaP2018acl,
	title="{Conceptual Captions}: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning",
	author="P. Sharma and N. Ding and S. Goodman and R. Soricut",
	booktitle="Proceedings of the Annual Meeting of the Association for Computational Linguistics",
	pages="2556--2565",
	year=2018,
	address="Melbourne, Australia"
}

@inproceedings{WuY2018eccv,
	title="Group normalization",
	author="Y. Wu and K. He",
	booktitle=eccv,
	pages="3--19",
	year=2018
}

@inproceedings{PapineniK2002acl,
	title="{BLEU}: a method for automatic evaluation of machine translation",
	author="K. Papineni and S. Roukos and T. Ward and W.-J. Zhu",
	booktitle="Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)",
	pages="311--318",
	year=2002
}

@article{DevlinJ2018arxiv,
	title="{BERT}: Pre-training of deep bidirectional transformers for language understanding",
	author="J. Devlin and {M.-W.} Chang and K. Lee and K. Toutanova",
	journal="arXiv preprint arXiv:1810.04805",
	year=2018
}

@inproceedings{WangA2019iclr,
	title="{GLUE}: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding",
	author="A. Wang and A. Singh and J. Michael and F. Hill and O. Levy and S. R. Bowman",
	booktitle=iclr,
	year=2019
}

@inproceedings{ZellersR2018emnlp,
	title="{SWAG}: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference",
	author="R. Zellers and Y. Bisk and R. Schwartz and Y. Choi",
	booktitle=emnlp,
	year=2018
}

@article{SchusterM1997ieeetsp,
	title="Bidirectional recurrent neural networks",
	author="M. Schuster and K. K. Paliwal",
	journal=ieeetsp,
	volume=45,
	number=11,
	pages="2673--2681",
	year=1997
}

@inproceedings{RajpurkarP2016emnlp,
	title="{SQuAD}: 100,000+ Questions for Machine Comprehension of Text",
	author="P. Rajpurkar and J. Zhang and K. Lopyrev and P. Liang",
	booktitle=emnlp,
	year=2016
}

@inproceedings{RajpurkarP2018acl,
	title="Know What You Don’t Know: Unanswerable Questions for {SQuAD}",
	author="P. Rajpurkar and R. Jia and P. Liang",
	booktitle="Proceedings of the Annual Meeting of the Association for Computational Linguistics",
	pages="784--789",
	year=2018,
	note="Short Paper"
}

@inproceedings{BengioE2021neurips,
	title="Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation",
	author="E. Bengio and M. Jain and M. Korablyov and D. Precup and Y. Bengio",
	booktitle=neurips,
	volume=34,
	year=2021
}

@misc{RadfordA2018gpt1,
	title="Improving Language Understanding by Generative Pre-Training",
	author="A. Radford and K. Narasimhan and T. Salimans and I. Sutskever",
	howpublished="\url{https://openai.com/blog/language-unsupervised/}",
	year=2018
}

@misc{RadfordA2019gpt2,
	title="Language models are unsupervised multitask learners",
	author="A. Radford and J. Wu and R. Child and D. Luan and D. Amodei and I. Sutskever",
	howpublished="\url{https://openai.com/blog/better-language-models/}",
	year=2019
}

@inproceedings{BrownTB2020neurips,
	title="Language Models are Few-Shot Learners",
	author="T. B. Brown and B. Mann and N. Ryder and M. Subbiah and J. Kaplan and P. Dhariwal and A. Neelakantan and P. Shyam and G. Sastry and A. Askell and S. Agarwal and A. Herbert-Voss and G. Krueger and T. Henighan and R. Child and A. Ramesh and D. M. Ziegler and J. Wu and C. Winter and C. Hesse and M. Chen and E. Sigler and M. Litwin and S. Gray and B. Chess and J. Clark and C. Berner and S. McCandlish and A. Radford and I. Sutskever and D. Amodei",
	booktitle=neurips,
	volume=33,
	pages="1877--1901",
	year=2020,
	address=venue-neurips-2020
}

@article{LiuY2019arxiv,
	title="{RoBERTa}: A robustly optimized {BERT} pretraining approach",
	author="Y. Liu and M. Ott and N. Goyal and J. Du and M. Joshi and D. Chen and O. Levy and M. Lewis and L. Zettlemoyer and V. Stoyanov",
	journal="arXiv preprint arXiv:1907.11692",
	year=2019
}

@inproceedings{YangZ2019neurips,
	title="{XLNet}: Generalized autoregressive pretraining for language understanding",
	author="Z. Yang and Z. Dai and Y. Yang and J. Carbonell and R. Salakhutdinov and Q. V. Le",
	booktitle=neurips,
	volume=32,
	year=2019,
	address=venue-neurips-2019
}

@article{RaffelC2020jmlr,
	title="Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer",
	author="C. Raffel and N. Shazeer and A. Roberts and K. Lee and S. Narang and M. Matena and Y. Zhou and W. Li and P. J. Liu",
	journal=jmlr,
	volume=21,
	pages="1--67",
	year=2020
}

@article{SanhV2019arxiv,
	title="{DistilBERT}, a distilled version of {BERT}: smaller, faster, cheaper and lighter",
	author="V. Sanh and L. Debut and J. Chaumond and T. Wolf",
	journal="arXiv preprint arXiv:1910.01108",
	year=2019
}

@inproceedings{DaiZ2019acl,
	title="{Transformer-XL}: Attentive Language Models beyond a Fixed-Length Context",
	author="Z. Dai and Z. Yang and Y. Yang and J. Carbonell and Q. V. Le and R. Salakhutdinov",
	booktitle="Proceedings of the Annual Meeting of the Association for Computational Linguistics",
	pages="2978--2988",
	year=2019
}

@article{GouJ2021ijcv,
	title="Knowledge distillation: A survey",
	author="J. Gou and B. Yu and S. J. Maybank and D. Tao",
	journal=ijcv,
	volume=129,
	number=6,
	pages="1789--1819",
	year=2021
}

@inproceedings{DosovitskiyA2021iclr,
	title="An image is worth 16x16 words: Transformers for image recognition at scale",
	author="A. Dosovitskiy and L. Beyer and A. Kolesnikov and D. Weissenborn and X. Zhai and T. Unterthiner and M. Dehghani and M. Minderer and G. Heigold and S. Gelly and J. Uszkoreit and N. Houlsby",
	booktitle=iclr,
	year=2021,
	address=venue-iclr-2021
}

@inproceedings{LiuZ2021iccv,
	title="{Swin Transformer}: Hierarchical vision transformer using shifted windows",
	author="Z. Liu and Y. Lin and Y. Cao and H. Hu and Y. Wei and Z. Zhang and S. Lin and B. Guo",
	booktitle=iccv,
	pages="10012--10022",
	year=2021,
	address=venue-iccv-2021
}

@inproceedings{PetersenF2021icml,
	title="Differentiable sorting networks for scalable sorting and ranking supervision",
	author="F. Petersen and C. Borgelt and H. Kuehne and O. Deussen",
	booktitle=icml,
	pages="8546--8555",
	year=2021,
	address=venue-icml-2021
}

@inproceedings{PetersenF2022iclr,
	title="Monotonic Differentiable Sorting Networks",
	author="F. Petersen and C. Borgelt and H. Kuehne and O. Deussen",
	booktitle=iclr,
	year=2022,
	address=venue-iclr-2022
}

@inproceedings{GroverA2019iclr,
	title="Stochastic Optimization of Sorting Networks via Continuous Relaxations",
	author="A. Grover and E. Wang and A. Zweig and S. Ermon",
	booktitle=iclr,
	year=2019,
	address=venue-iclr-2019
}

@inproceedings{CuturiM2019neurips,
	title="Differentiable ranking and sorting using optimal transport",
	author="M. Cuturi and O. Teboul and J.-P. Vert",
	booktitle=neurips,
	volume=32,
	year=2019,
	address=venue-neurips-2019
}

@inproceedings{BlondelM2020icml,
	title="Fast differentiable sorting and ranking",
	author="M. Blondel and O. Teboul and Q. Berthet and J. Djolonga",
	booktitle=icml,
	pages="950--959",
	year=2020,
	address=venue-icml-2020
}

@article{BaJL2016arxiv,
	title="Layer normalization",
	author="J. L. Ba and J. R. Kiros and G. E. Hinton",
	journal="arXiv preprint arXiv:1607.06450",
	year=2016
}

@article{BengioY2013arxiv,
	title="Estimating or propagating gradients through stochastic neurons for conditional computation",
	author="Y. Bengio and N. L{\'e}onard and A. Courville",
	journal="arXiv preprint arXiv:1308.3432",
	year=2013
}

@book{CormenTH2022book,
	title="Introduction to algorithms",
	author="T. H. Cormen and C. E. Leiserson and R. L. Rivest and C. Stein",
	year=2022,
	edition=4,
	publisher="MIT Press"
}

@book{KnuthDE1998book,
	title="The art of computer programming",
	author="D. E. Knuth",
	edition=2,
	volume=3,
	year=1998,
	publisher="Addison-Wesley Professional"
}

@inproceedings{AjtaiM1983stoc,
	title="An {O(n log n)} sorting network",
	author="M. Ajtai and J. Koml{\'o}s and E. Szemer{\'e}di",
	booktitle=stoc,
	pages="1--9",
	year=1983,
	address=boston-usa
}

@misc{LeCunY1998mnist,
	title="The {MNIST} Database of Handwritten Digits",
	author="Y. LeCun and C. Cortes and C. J. C. Burges",
	howpublished="\url{http://yann.lecun.com/exdb/mnist/}",
	year=1998
}

@inproceedings{ZhaoH2021iccv,
	title="Point transformer",
	author="H. Zhao and L. Jiang and J. Jia and P. Torr and V. Koltun",
	booktitle=iccv,
	pages="16259--16268",
	year=2021,
	address=venue-iccv-2021
}

@inproceedings{LoshchilovI2018iclr,
	title="Decoupled Weight Decay Regularization",
	author="I. Loshchilov and F. Hutter",
	booktitle=iclr,
	year=2018,
	address=venue-iclr-2018
}

@inproceedings{CuturiM2013neurips,
	title="Sinkhorn distances: lightspeed computation of optimal transport",
	author="M. Cuturi",
	booktitle=neurips,
	volume=26,
	pages="2292--2300",
	year=2013,
	address=venue-neurips-2013
}

@inproceedings{StrubellE2019acl,
	title="Energy and Policy Considerations for Deep Learning in {NLP}",
	author="E. Strubell and A. Ganesh and A. McCallum",
	booktitle="Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)",
	pages="3645--3650",
	year=2019
}

@article{GuptaU2022ieeemicro,
	title="Chasing carbon: The elusive environmental footprint of computing",
	author="U. Gupta and Y. G. Kim and S. Lee and J. Tse and H.-H. S. Lee and G.-Y. Wei and D. Brooks and C.-J. Wu",
	journal="IEEE Micro",
	year=2022
}

@article{ChiuKL2021arxiv,
	title="Detecting hate speech with {GPT-3}",
	author="K.-L. Chiu and R. Alexander",
	journal="arXiv preprint arXiv:2103.12407",
	year=2021
}

@inproceedings{NadeemM2021acl,
	title="{StereoSet}: Measuring stereotypical bias in pretrained language models",
	author="M. Nadeem and A. Bethke and S. Reddy",
	booktitle="Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL)",
	pages="5356--5371",
	year=2021
}

@article{MollasI2020arxiv,
	title="{ETHOS}: an online hate speech detection dataset",
	author="I. Mollas and Z. Chrysopoulou and S. Karlos and G. Tsoumakas",
	journal="arXiv preprint arXiv:2006.08328",
	year=2020
}

