@article{mpub499,
	title        = {Preference learning and multiple criteria decision aiding: {D}ifferences, commonalities, and synergies -- {P}art {II}},
	author       = {Eyke H\"ullermeier and Roman {S{\l}owi{\'n}ski}},
	year         = 2024,
	journal      = {4OR},
	publisher    = {Springer},
	doi          = {10.1007/s10288-023-00561-5}
}
% ?? volume, number, pages
@article{mpub498,
	title        = {Preference learning and multiple criteria decision aiding: {D}ifferences, commonalities, and synergies -- {P}art {I}},
	author       = {Eyke H\"ullermeier and Roman {S{\l}owi{\'n}ski}},
	year         = 2024,
	journal      = {4OR},
	publisher    = {Springer},
	doi          = {10.1007/s10288-023-00560-6}
}
@article{bradley_rank_1952,
	title        = {Rank {Analysis} of {Incomplete} {Block} {Designs}: {I}. {The} {Method} of {Paired} {Comparisons}},
	shorttitle   = {Rank {Analysis} of {Incomplete} {Block} {Designs}},
	author       = {Bradley, Ralph Allan and Terry, Milton E.},
	year         = 1952,
	journal      = {Biometrika},
	volume       = 39,
	number       = {3/4},
	pages        = 324,
	doi          = {10.2307/2334029}
}
@article{kendall_new_1938,
	title        = {A {New} {Measure} of {Rank} {Correlation}},
	author       = {Kendall, Maurice G.},
	year         = 1938,
	journal      = {Biometrika},
	volume       = 30,
	number       = {1/2},
	pages        = {81--93},
	doi          = {10.2307/2332226}
}
@article{kendall_treatment_1945,
	title        = {The {Treatment} of {Ties} in {Ranking} {Problems}},
	author       = {Kendall, Maurice G.},
	year         = 1945,
	journal      = {Biometrika},
	volume       = 33,
	number       = 3,
	pages        = {239--251},
	doi          = {10.2307/2332303}
}
@article{debreu_representation_1954,
	title        = {Representation of a preference ordering by a numerical function},
	author       = {Debreu, Gerard},
	year         = 1954,
	journal      = {Decision Processes},
	volume       = 3,
	pages        = {159--165}
}
@article{yannakakis2015ratings,
	title        = {Ratings are Overrated!},
	author       = {Georgios N. Yannakakis and H{\'{e}}ctor P{\'{e}}rez Mart{\'{\i}}nez},
	year         = 2015,
	journal      = {Frontiers {ICT}},
	volume       = 2,
	pages        = 13,
	doi          = {10.3389/FICT.2015.00013}
}
@article{rigu_sl11,
	title        = {{SortNet}: {L}earning to Rank by a Neural Preference Function},
	author       = {Leonardo Rigutini and Tiziano Papini and Marco Maggini and Franco Scarselli},
	year         = 2011,
	journal      = {{IEEE} Transactions on Neural Networks},
	volume       = 22,
	number       = 9,
	pages        = {1368--1380}
}
@article{davidson_extending_1970,
	title        = {On {Extending} the {Bradley}-{Terry} {Model} to {Accommodate} {Ties} in {Paired} {Comparison} {Experiments}},
	author       = {Davidson, Roger R.},
	year         = 1970,
	journal      = {Journal of the American Statistical Association},
	volume       = 65,
	number       = 329,
	pages        = {317--328},
	doi          = {10.2307/2283595}
}
@article{lei2018distribution,
	title        = {Distribution-free predictive inference for regression},
	author       = {Lei, Jing and G’Sell, Max and Rinaldo, Alessandro and Tibshirani, Ryan J and Wasserman, Larry},
	year         = 2018,
	journal      = {Journal of the American Statistical Association},
	publisher    = {Taylor \& Francis},
	volume       = 113,
	number       = 523,
	pages        = {1094--1111}
}
@article{rao_ties_1967,
	title        = {Ties in {Paired}-{Comparison} {Experiments}: {A} {Generalization} of the {Bradley}-{Terry} {Model}},
	author       = {Rao, P. V. and Kupper, L. L.},
	year         = 1967,
	journal      = {Journal of the American Statistical Association},
	volume       = 62,
	number       = 317,
	pages        = {194--204},
	doi          = {10.2307/2282923}
}
@article{sadinle_least_2019,
	title        = {Least ambiguous set-valued classifiers with bounded error levels},
	author       = {Sadinle, Mauricio and Lei, Jing and Wasserman, Larry},
	year         = 2019,
	journal      = {Journal of the American Statistical Association}
}
@article{plackett_analysis_1975,
	title        = {The {Analysis} of {Permutations}},
	author       = {Plackett, Robert L.},
	year         = 1975,
	journal      = {Journal of the Royal Statistical Society. Series C (Applied Statistics)},
	volume       = 24,
	number       = 2,
	pages        = {193--202},
	issn         = {00359254, 14679876}
}
@article{hullermeier_aleatoric_2021,
	title        = {Aleatoric and epistemic uncertainty in machine learning: {An} introduction to concepts and methods},
	author       = {Hüllermeier, Eyke and Waegeman, Willem},
	year         = 2021,
	journal      = {Machine Learning},
	volume       = 110
}
@article{schafer_dyad_2018,
	title        = {Dyad ranking using {Plackett}-{Luce} models based on joint feature representations},
	author       = {Schäfer, Dirk and Hüllermeier, Eyke},
	year         = 2018,
	journal      = {Machine Learning},
	volume       = 107,
	number       = 5,
	pages        = {903--941},
	doi          = {10.1007/S10994-017-5694-9}
}
@article{tversky_judgment_1974,
	title        = {Judgment under {Uncertainty}: {Heuristics} and {Biases}: {Biases} in judgments reveal some heuristics of thinking under uncertainty.},
	author       = {Tversky, Amos and Kahneman, Daniel},
	year         = 1974,
	journal      = {Science},
	volume       = 185,
	number       = 4157,
	pages        = {1124--1131}
}
@article{vanschoren_openml_2013,
	title        = {{OpenML}: networked science in machine learning},
	author       = {Vanschoren, Joaquin and Rijn, Jan N. van and Bischl, Bernd and Torgo, Luís},
	year         = 2013,
	journal      = {SIGKDD Explorations},
	volume       = 15,
	number       = 2,
	pages        = {49--60},
	doi          = {10.1145/2641190.2641198}
}
@book{furnkranz_preference_2011,
	title        = {Preference {Learning}},
	author       = {Fürnkranz, Johannes and Hüllermeier, Eyke},
	year         = 2011,
	publisher    = {Springer},
	series       = {{SpringerLink} {Books}},
	doi          = {10.1007/978-3-642-14125-6}
}
@book{luce_individual_1959,
	title        = {Individual choice behavior.},
	author       = {Luce, R. Duncan},
	year         = 1959,
	publisher    = {Wiley},
	series       = {Individual Choice Behavior}
}
@book{vovk_algorithmic_2022,
	title        = {Algorithmic {Learning} in a {Random} {World}},
	author       = {Vovk, Vladimir and Gammerman, Alexander and Shafer, Glenn},
	year         = 2022,
	publisher    = {Springer Nature}
}
@inproceedings{peterson_human_2019,
	title        = {Human {Uncertainty} {Makes} {Classification} {More} {Robust}},
	author       = {Peterson, Joshua C. and Battleday, Ruairidh M. and Griffiths, Thomas L. and Russakovsky, Olga},
	year         = 2019,
	booktitle    = {{International} {Conference} on {Computer} {Vision} ({ICCV})},
	publisher    = {IEEE},
	pages        = {9616--9625},
	doi          = {10.1109/ICCV.2019.00971}
}
@inproceedings{angelopoulos_uncertainty_2020,
	title        = {Uncertainty Sets for Image Classifiers using Conformal Prediction},
	author       = {Anastasios Nikolas Angelopoulos and Stephen Bates and Michael I. Jordan and Jitendra Malik},
	year         = 2021,
	booktitle    = {9th International Conference on Learning Representations ({ICLR})},
	publisher    = {OpenReview.net},
	url          = {https://openreview.net/forum?id=eNdiU\_DbM9}
}
@inproceedings{ouyang_training_2022,
	title        = {Training language models to follow instructions with human feedback},
	author       = {Ouyang, Long and Wu, Jeffrey and Jiang, Xu and Almeida, Diogo and Wainwright, Carroll and Mishkin, Pamela and Zhang, Chong and Agarwal, Sandhini and Slama, Katarina and Ray, Alex and Schulman, John and Hilton, Jacob and Kelton, Fraser and Miller, Luke and Simens, Maddie and Askell, Amanda and Welinder, Peter and Christiano, Paul F and Leike, Jan and Lowe, Ryan},
	year         = 2022,
	booktitle    = {Advances in Neural Information Processing Systems},
	publisher    = {Curran Associates, Inc.},
	volume       = 35,
	pages        = {27730--27744},
	editor       = {S. Koyejo and S. Mohamed and A. Agarwal and D. Belgrave and K. Cho and A. Oh}
}
@inproceedings{romano_conformalized_2019,
	title        = {Conformalized Quantile Regression},
	author       = {Romano, Yaniv and Patterson, Evan and Candes, Emmanuel},
	year         = 2019,
	booktitle    = {Advances in Neural Information Processing Systems},
	publisher    = {Curran Associates, Inc.},
	volume       = 32,
	editor       = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\textquotesingle Alch\'{e}-Buc and E. Fox and R. Garnett}
}
@inproceedings{romano_classification_2020,
	title        = {Classification with Valid and Adaptive Coverage},
	author       = {Romano, Yaniv and Sesia, Matteo and Candes, Emmanuel},
	year         = 2020,
	booktitle    = {Advances in Neural Information Processing Systems},
	publisher    = {Curran Associates, Inc.},
	volume       = 33,
	pages        = {3581--3591},
	editor       = {H. Larochelle and M. Ranzato and R. Hadsell and M.F. Balcan and H. Lin}
}
@inproceedings{huang_conformal_2024,
	title        = {Conformal {Prediction} for {Deep} {Classifier} via {Label} {Ranking}},
	author       = {Huang, Jianguo and Xi, Huajun and Zhang, Linjun and Yao, Huaxiu and Qiu, Yue and Wei, Hongxin},
	year         = 2024,
	booktitle    = {41st {International} {Conference} on {Machine} {Learning}, ({ICML})}
}
@inproceedings{papadopoulos_inductive_2002,
	title        = {Inductive confidence machines for regression},
	author       = {Papadopoulos, Harris and Proedrou, Kostas and Vovk, Volodya and Gammerman, Alex},
	year         = 2002,
	booktitle    = {Machine {Learning}: {ECML} 2002: 13th {European} {Conference} on {Machine} {Learning}},
	publisher    = {Springer}
}
@inproceedings{papadopoulos_normalized_2008,
	title        = {Normalized nonconformity measures for regression conformal prediction},
	author       = {Papadopoulos, Harris and Gammerman, Alex and Vovk, Volodya},
	year         = 2008,
	booktitle    = {{IASTED} {International} {Conference} on {Artificial} {Intelligence} and {Applications} ({AIA})}
}
@misc{angelopoulos2024theoretical,
	title        = {Theoretical Foundations of Conformal Prediction},
	author       = {Anastasios N. Angelopoulos and Rina {Foygel Barber} and Stephen Bates},
	year         = 2025,
	eprint       = {2411.11824},
	archiveprefix = {arXiv}
}
@misc{angelopoulos_gentle_2021,
	title        = {A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification},
	author       = {Anastasios N. Angelopoulos and Stephen Bates},
	year         = 2022,
	eprint       = {2107.07511},
	archiveprefix = {arXiv}
}
@misc{wei_torchcp_2024,
	title        = {TorchCP: A Python Library for Conformal Prediction},
	author       = {Jianguo Huang and Jianqing Song and Xuanning Zhou and Bingyi Jing and Hongxin Wei},
	year         = 2024,
	eprint       = {2402.12683},
	archiveprefix = {arXiv}
}
@misc{luo_trustworthy_2024,
	title        = {Trustworthy Classification through Rank-Based Conformal Prediction Sets},
	author       = {Rui Luo and Zhixin Zhou},
	year         = 2024,
	eprint       = {2407.04407},
	archiveprefix = {arXiv}
}
