%% For multi-objective optimization

%% Saved with string encoding Unicode (UTF-8) 
@article{he2016deep,
  title={Deep residual learning for image recognition. CVPR. 2016},
  author={He, Kaiming and Zhang, Xiangyu and Ren, Shaoqing and Sun, Jian},
  journal={arXiv preprint arXiv:1512.03385},
  year={2016}
}
@article{mercier2018stochastic,
  title={A stochastic multiple gradient descent algorithm},
  author={Mercier, Quentin and Poirion, Fabrice and D{\'e}sid{\'e}ri, Jean-Antoine},
  journal={European Journal of Operational Research},
  volume={271},
  number={3},
  pages={808--817},
  year={2018},
  publisher={Elsevier}
}
@book{boyd2004convex,
  title={Convex optimization},
  author={Boyd, Stephen P and Vandenberghe, Lieven},
  year={2004},
  publisher={Cambridge university press}
}

@book{ehrgott2005multicriteria,
  title={Multicriteria optimization},
  author={Ehrgott, Matthias},
  volume={491},
  year={2005},
  publisher={Springer Science \& Business Media}
}
@article{yang2023federated,
  title={Federated multi-objective learning},
  author={Yang, Haibo and Liu, Zhuqing and Liu, Jia and Dong, Chaosheng and Momma, Michinari},
    journal={Advances in neural information processing systems},
year={2023}
}

@inproceedings{chen2019co,
  title={Co-attentive multi-task learning for explainable recommendation.},
  author={Chen, Zhongxia and Wang, Xiting and Xie, Xing and Wu, Tong and Bu, Guoqing and Wang, Yining and Chen, Enhong},
  booktitle={IJCAI},
  pages={2137--2143},
  year={2019}
}

@inproceedings{pasunuru-bansal-2017-multi,
    title = "Multi-Task Video Captioning with Video and Entailment Generation",
    author = "Pasunuru, Ramakanth  and
      Bansal, Mohit",
    booktitle = "Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics",
    year = "2017"
}

@inproceedings{jiao2022fine,
  title={Fine-grained fashion representation learning by online deep clustering},
  author={Jiao, Yang and Xie, Ning and Gao, Yan and Wang, Chien-Chih and Sun, Yi},
  booktitle={European Conference on Computer Vision},
  pages={19--35},
  year={2022},
  organization={Springer}
}

@inproceedings{jiao2023learning,
  title={Learning Attribute and Class-Specific Representation Duet for Fine-grained Fashion Analysis},
  author={Jiao, Yang and Gao, Yan and Meng, Jingjing and Shang, Jin and Sun, Yi},
  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages={11050--11059},
  year={2023}
}

@inproceedings{parisi2014policy,
  title={Policy gradient approaches for multi-objective sequential decision making},
  author={Parisi, Simone and Pirotta, Matteo and Smacchia, Nicola and Bascetta, Luca and Restelli, Marcello},
  booktitle={2014 International Joint Conference on Neural Networks (IJCNN)},
  pages={2323--2330},
  year={2014},
  organization={IEEE}
}

@inproceedings{nie2017image,
  title={Image Retrieval with Attribute-Associated Auxiliary References},
  author={Nie, Lin and Wang, Keze and Kang, Wenxiong and Gao, Yuefang},
  booktitle={2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)},
  pages={1--6},
  year={2017},
  organization={IEEE}
}

@article{sabour2017dynamic,
  title={Dynamic routing between capsules},
  author={Sabour, Sara and Frosst, Nicholas and Hinton, Geoffrey E},
  journal={Advances in neural information processing systems},
  volume={30},
  year={2017}
}

@inproceedings{fang2018spider,
 author = {Fang, Cong and Li, Chris Junchi and Lin, Zhouchen and Zhang, Tong},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett},
 pages = {},
 publisher = {Curran Associates, Inc.},
 title = {SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator},
 volume = {31},
 year = {2018}
}
@article{el2020finance,
  title={Finance-based scheduling multi-objective optimization: Benchmarking of evolutionary algorithms},
  author={El-Abbasy, Mohammed S and Elazouni, Ashraf and Zayed, Tarek},
  journal={Automation in Construction},
  volume={120},
  pages={103392},
  year={2020},
  publisher={Elsevier}
}
@article{DBLP,
  author       = {Tao Qin and
                  Tie{-}Yan Liu},
  title        = {Introducing {LETOR} 4.0 Datasets},
  journal      = {CoRR},
  volume       = {abs/1306.2597},
  year         = {2013},
  eprinttype    = {arXiv},
  eprint       = {1306.2597},
  timestamp    = {Mon, 13 Aug 2018 16:48:46 +0200},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

@article{fathollahi2021multi,
  title={Multi-objective optimization of home healthcare with working-time balancing and care continuity},
  author={Fathollahi-Fard, Amir M and Ahmadi, Abbas and Karimi, Behrooz},
  journal={Sustainability},
  volume={13},
  number={22},
  pages={12431},
  year={2021},
  publisher={MDPI}
}

@article{dhiman2020mosse,
  title={MoSSE: a novel hybrid multi-objective meta-heuristic algorithm for engineering design problems},
  author={Dhiman, Gaurav and Garg, Meenakshi},
  journal={Soft Computing},
  volume={24},
  number={24},
  pages={18379--18398},
  year={2020},
  publisher={Springer}
}

@article{SAKIZLIS20042069,
title = {Recent advances in optimization-based simultaneous process and control design},
journal = {Computers Chemical Engineering},
volume = {28},
number = {10},
pages = {2069-2086},
year = {2004},
note = {Special Issue for Professor Arthur W. Westerberg},
issn = {0098-1354},
doi = {https://doi.org/10.1016/j.compchemeng.2004.03.018},
author = {Vassilis Sakizlis and John D. Perkins and Efstratios N. Pistikopoulos},
keywords = {Process design, Model-based control, Feasibility analysis, Process operability, Parametric programming}
}

@InProceedings{Karimireddy2020SCAFFOLD,
  title = 	 {{SCAFFOLD}: Stochastic Controlled Averaging for Federated Learning},
  author =       {Karimireddy, Sai Praneeth and Kale, Satyen and Mohri, Mehryar and Reddi, Sashank and Stich, Sebastian and Suresh, Ananda Theertha},
  booktitle = 	 {Proceedings of the 37th International Conference on Machine Learning},
  pages = 	 {5132--5143},
  year = 	 {2020},
  editor = 	 {III, Hal Daumé and Singh, Aarti},
  volume = 	 {119},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {13--18 Jul},
  publisher =    {PMLR},
}

@article{wang2019spiderboost,
  title={Spiderboost and momentum: Faster variance reduction algorithms},
  author={Wang, Zhe and Ji, Kaiyi and Zhou, Yi and Liang, Yingbin and Tarokh, Vahid},
  journal={Advances in Neural Information Processing Systems},
  volume={32},
  year={2019}
}
@article{yu2020gradient,
  title={Gradient surgery for multi-task learning},
  author={Yu, Tianhe and Kumar, Saurabh and Gupta, Abhishek and Levine, Sergey and Hausman, Karol and Finn, Chelsea},
  journal={Advances in Neural Information Processing Systems},
  volume={33},
  pages={5824--5836},
  year={2020}
}
@article{liu2021conflict,
  title={Conflict-averse gradient descent for multi-task learning},
  author={Liu, Bo and Liu, Xingchao and Jin, Xiaojie and Stone, Peter and Liu, Qiang},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={18878--18890},
  year={2021}
}
@inproceedings{mlltr2023kdd,
	author = {Mahapatra, Debabrata and Dong, Chaosheng and Chen, Yetian and Momma, Michinari},
	title = {Multi-Label Learning to Rank through Multi-Objective Optimization},
	year = {2023},
	booktitle = {Proceedings of the 29th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining}
}
@inproceedings{zhou2023multi,
  title={Multi-task learning on heterogeneous graph neural network for substitute recommendation},
  author={Zhou, Tianchen and Momma, Michinari and Dong, Chaosheng and Yang, Fan and Guo, Chenghuan and Shang, Jin and Liu, Jia Kevin},
  year={2023},
  booktitle = {19th International Workshop on Mining and Learning with Graphs}
}

@inproceedings{querymlltr2023kdd,
author = {Mahapatra, Debabrata and Dong, Chaosheng and Momma, Michinari},
title = {Querywise Fair Learning to Rank through Multi-Objective Optimization},
year = {2023},
booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining}
}
@article{mukai1980algorithms,
  title={Algorithms for multicriterion optimization},
  author={Mukai, Hiroaki},
  journal={IEEE transactions on automatic control},
  volume={25},
  number={2},
  pages={177--186},
  year={1980},
  publisher={IEEE}
}

@article{ghadimi2013stochastic,
  title={Stochastic first-and zeroth-order methods for nonconvex stochastic programming},
  author={Ghadimi, Saeed and Lan, Guanghui},
  journal={SIAM Journal on Optimization},
  volume={23},
  number={4},
  pages={2341--2368},
  year={2013},
  publisher={SIAM}
}
@article{zhou2022convergence,
  title={On the convergence of stochastic multi-objective gradient manipulation and beyond},
  author={Zhou, Shiji and Zhang, Wenpeng and Jiang, Jiyan and Zhong, Wenliang and Gu, Jinjie and Zhu, Wenwu},
  journal={Advances in Neural Information Processing Systems},
  volume={35},
  pages={38103--38115},
  year={2022}
}
@inproceedings{mahapatra2023multi,
  title={Multi-label learning to rank through multi-objective optimization},
  author={Mahapatra, Debabrata and Dong, Chaosheng and Chen, Yetian and Momma, Michinari},
  booktitle={Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
  pages={4605--4616},
  year={2023}
}
@article{thomas2021multi,
  title={Multi-objective spibb: Seldonian offline policy improvement with safety constraints in finite mdps},
  author={Thomas, Philip S and Pineau, Joelle and Laroche, Romain and others},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={2004--2017},
  year={2021}
}

@inproceedings{liu2015deep,
  title={Deep learning face attributes in the wild},
  author={Liu, Ziwei and Luo, Ping and Wang, Xiaogang and Tang, Xiaoou},
  booktitle={Proceedings of the IEEE international conference on computer vision},
  pages={3730--3738},
  year={2015}
}

@article{chang2011libsvm,
	title={LIBSVM: a library for support vector machines},
	author={Chang, Chih-Chung and Lin, Chih-Jen},
	journal={ACM transactions on intelligent systems and technology (TIST)},
	volume={2},
	number={3},
	pages={1--27},
	year={2011},
	publisher={Acm New York, NY, USA}
}
@article{lecun2010mnist,
	title={MNIST handwritten digit database},
	author={LeCun, Yann and Cortes, Corinna and Burges, CJ},
	journal={Available: http://yann. lecun. com/exdb/mnist},
	year={1998}
}


@article{lin2019pareto,
  title={Pareto multi-task learning},
  author={Lin, Xi and Zhen, Hui-Ling and Li, Zhenhua and Zhang, Qing-Fu and Kwong, Sam},
  journal={Advances in neural information processing systems},
  volume={32},
  year={2019}
}

@book{miettinen2012nonlinear,
  title={Nonlinear multiobjective optimization},
  author={Miettinen, Kaisa},
  volume={12},
  year={2012},
  publisher={Springer Science \& Business Media}
}

@article{fliege2000steepest,
  title={Steepest descent methods for multicriteria optimization},
  author={Fliege, J{\"o}rg and Svaiter, Benar Fux},
  journal={Mathematical methods of operations research},
  volume={51},
  number={3},
  pages={479--494},
  year={2000},
  publisher={Springer}
}

@incollection{peitz2018gradient,
  title={Gradient-based multiobjective optimization with uncertainties},
  author={Peitz, Sebastian and Dellnitz, Michael},
  booktitle={NEO 2016},
  pages={159--182},
  year={2018},
  publisher={Springer}
}

@INPROCEEDINGS{10446038,
  author={Fernando, Heshan and Chen, Lisha and Lu, Songtao and Chen, Pin-Yu and Liu, Miao and Chaudhury, Subhajit and Murugesan, Keerthiram and Liu, Gaowen and Wang, Meng and Chen, Tianyi},
  booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, 
  title={Variance Reduction Can Improve Trade-Off in Multi-Objective Learning}, 
  year={2024},
  volume={},
  number={},
  pages={6975-6979},
  keywords={Machine learning algorithms;Heuristic algorithms;Signal processing algorithms;Machine learning;Signal processing;Multitasking;Linear programming;Multi-objective learning;Multi-task learning},
  doi={10.1109/ICASSP48485.2024.10446038}}
@article{desideri2012multiple,
  title={Multiple-gradient descent algorithm (MGDA) for multiobjective optimization},
  author={D{\'e}sid{\'e}ri, Jean-Antoine},
  journal={Comptes Rendus Mathematique},
  volume={350},
  number={5-6},
  pages={313--318},
  year={2012},
  publisher={Elsevier}
}

@article{fliege2019complexity,
  title={Complexity of gradient descent for multiobjective optimization},
  author={Fliege, J{\"o}rg and Vaz, A Ismael F and Vicente, Lu{\'\i}s Nunes},
  journal={Optimization Methods and Software},
  volume={34},
  number={5},
  pages={949--959},
  year={2019},
  publisher={Taylor \& Francis}
}

@article{liu2021stochastic,
  title={The stochastic multi-gradient algorithm for multi-objective optimization and its application to supervised machine learning},
  author={Liu, Suyun and Vicente, Luis Nunes},
  journal={Annals of Operations Research},
  pages={1--30},
  year={2021},
  publisher={Springer}
}

@inproceedings{
yang2022pareto,
title={Pareto Policy Pool for Model-based Offline Reinforcement Learning},
author={Yijun Yang and Jing Jiang and Tianyi Zhou and Jie Ma and Yuhui Shi},
booktitle={International Conference on Learning Representations},
year={2022}
}


@article{sener2018multi,
  title={Multi-task learning as multi-objective optimization},
  author={Sener, Ozan and Koltun, Vladlen},
  journal={Advances in neural information processing systems},
  volume={31},
  year={2018}
}

@article{hu2022federated,
  title={Federated learning meets multi-objective optimization},
  author={Hu, Zeou and Shaloudegi, Kiarash and Zhang, Guojun and Yu, Yaoliang},
  journal={IEEE Transactions on Network Science and Engineering},
  year={2022},
  publisher={IEEE}
}

@article{fernando2022mitigating,
  title={Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach},
  author={Fernando, Heshan and Shen, Han and Liu, Miao and Chaudhury, Subhajit and Murugesan, Keerthiram and Chen, Tianyi},
  journal={arXiv preprint arXiv:2210.12624},
  year={2022}
}

@inproceedings{
zhou2022on,
title={On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond},
author={Shiji Zhou and Wenpeng Zhang and Jiyan Jiang and Wenliang Zhong and Jinjie GU and Wenwu Zhu},
booktitle={Advances in Neural Information Processing Systems},
editor={Alice H. Oh and Alekh Agarwal and Danielle Belgrave and Kyunghyun Cho},
year={2022}
}

% -------------------
% gradient free MOO
% ---------------------
@article{zhang2007moea,
  title={MOEA/D: A multiobjective evolutionary algorithm based on decomposition},
  author={Zhang, Qingfu and Li, Hui},
  journal={IEEE Transactions on evolutionary computation},
  volume={11},
  number={6},
  pages={712--731},
  year={2007},
  publisher={IEEE}
}

@article{deb2002fast,
  title={A fast and elitist multiobjective genetic algorithm: NSGA-II},
  author={Deb, Kalyanmoy and Pratap, Amrit and Agarwal, Sameer and Meyarivan, TAMT},
  journal={IEEE transactions on evolutionary computation},
  volume={6},
  number={2},
  pages={182--197},
  year={2002},
  publisher={IEEE}
}

@inproceedings{belakaria2020uncertainty,
  title={Uncertainty-aware search framework for multi-objective Bayesian optimization},
  author={Belakaria, Syrine and Deshwal, Aryan and Jayakodi, Nitthilan Kannappan and Doppa, Janardhan Rao},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={34},
  pages={10044--10052},
  year={2020}
}

@inproceedings{laumanns2002bayesian,
  title={Bayesian optimization algorithms for multi-objective optimization},
  author={Laumanns, Marco and Ocenasek, Jiri},
  booktitle={International Conference on Parallel Problem Solving from Nature},
  pages={298--307},
  year={2002},
  organization={Springer}
}

@article{bui2009local,
  title={Local models—an approach to distributed multi-objective optimization},
  author={Bui, Lam T and Abbass, Hussein A and Essam, Daryl},
  journal={Computational Optimization and Applications},
  volume={42},
  number={1},
  pages={105--139},
  year={2009},
  publisher={Springer}
}

@article{cui2021addressing,
  title={Addressing algorithmic disparity and performance inconsistency in federated learning},
  author={Cui, Sen and Pan, Weishen and Liang, Jian and Zhang, Changshui and Wang, Fei},
  journal={Advances in Neural Information Processing Systems},
  volume={34},
  pages={26091--26102},
  year={2021}
}

@article{mehrabi2022towards,
  title={Towards Multi-Objective Statistically Fair Federated Learning},
  author={Mehrabi, Ninareh and de Lichy, Cyprien and McKay, John and He, Cynthia and Campbell, William},
  journal={arXiv preprint arXiv:2201.09917},
  year={2022}
}

@article{saber2020comparative,
  title={A comparative study of multi-objective machine reassignment algorithms for data centres},
  author={Saber, Takfarinas and Gandibleux, Xavier and O’Neill, Michael and Murphy, Liam and Ventresque, Anthony},
  journal={Journal of Heuristics},
  volume={26},
  number={1},
  pages={119--150},
  year={2020},
  publisher={Springer}
}

@article{yin2021analytical,
  title={Analytical adaptive distributed multi-objective optimization algorithm for optimal power flow problems},
  author={Yin, Linfei and Wang, Tao and Zheng, Baomin},
  journal={Energy},
  volume={216},
  pages={119245},
  year={2021},
  publisher={Elsevier}
}

@book{jin2006multi,
  title={Multi-objective machine learning},
  author={Jin, Yaochu},
  volume={16},
  year={2006},
  publisher={Springer Science \& Business Media}
}

% ---------------------
% -----------------------


@article{blondin2021decentralized,
  title={A Decentralized Multi-objective Optimization Algorithm},
  author={Blondin, Maude J and Hale, Matthew},
  journal={Journal of Optimization Theory and Applications},
  volume={189},
  number={2},
  pages={458--485},
  year={2021},
  publisher={Springer}
}



% -------------------
% MOO application
% ---------------------
@inproceedings{
satija2021multiobjective,
title={Multi-Objective {SPIBB}: Seldonian Offline Policy Improvement with Safety Constraints in Finite {MDP}s},
author={Harsh Satija and Philip S. Thomas and Joelle Pineau and Romain Laroche},
booktitle={Advances in Neural Information Processing Systems},
editor={A. Beygelzimer and Y. Dauphin and P. Liang and J. Wortman Vaughan},
year={2021}
}

@article{you2020development,
  title={Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects},
  author={You, Junyu and Ampomah, William and Sun, Qian},
  journal={Fuel},
  volume={264},
  pages={116758},
  year={2020},
  publisher={Elsevier}
}

@article{shi2019multi,
  title={Multi-objective optimization design through machine learning for drop-on-demand bioprinting},
  author={Shi, Jia and Song, Jinchun and Song, Bin and Lu, Wen F},
  journal={Engineering},
  volume={5},
  number={3},
  pages={586--593},
  year={2019},
  publisher={Elsevier}
}