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Nonparametric Preference Completion.

, and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 632-641. PMLR, (2018)

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Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers., , , and . NeurIPS, page 17801-17812. (2021)High-dimensional Experimental Design and Kernel Bandits., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 1227-1237. PMLR, (2021)HYPO: Hyperspherical Out-Of-Distribution Generalization., , , and . ICLR, OpenReview.net, (2024)Decontamination of Mutual Contamination Models., , and . J. Mach. Learn. Res., (2019)An Empirical Process Approach to the Union Bound: Practical Algorithms for Combinatorial and Linear Bandits., , , and . NeurIPS, (2020)Near Instance Optimal Model Selection for Pure Exploration Linear Bandits., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 6735-6769. PMLR, (2022)Improved Algorithms for Agnostic Pool-based Active Classification., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5334-5344. PMLR, (2021)Training OOD Detectors in their Natural Habitats., , , and . CoRR, (2022)The Legislative Influence Detector: Finding Text Reuse in State Legislation., , , , , , and . KDD, page 57-66. ACM, (2016)Experimental Design for Regret Minimization in Linear Bandits., , and . CoRR, (2020)