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MOTS: Minimax Optimal Thompson Sampling.

, , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5074-5083. PMLR, (2021)

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Semiparametric Differential Graph Models., and . NIPS, page 1064-1072. (2016)Continuous-Trait Probabilistic Model for Comparing Multi-species Functional Genomic Data., , , , , , and . RECOMB, volume 10812 of Lecture Notes in Computer Science, page 293-294. Springer, (2018)Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons., , , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 11014-11036. PMLR, (2022)Logarithmic Regret for Reinforcement Learning with Linear Function Approximation., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4171-4180. PMLR, (2021)MOTS: Minimax Optimal Thompson Sampling., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5074-5083. PMLR, (2021)Optimization Theory for ReLU Neural Networks Trained with Normalization Layers., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 2751-2760. PMLR, (2020)Provable Robustness of Adversarial Training for Learning Halfspaces with Noise., , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 13002-13011. PMLR, (2021)Contextual Bandits in a Collaborative Environment., , , and . SIGIR, page 529-538. ACM, (2016)Accelerated Factored Gradient Descent for Low-Rank Matrix Factorization., , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 4430-4440. PMLR, (2020)Towards Active Learning on Graphs: An Error Bound Minimization Approach., and . ICDM, page 882-887. IEEE Computer Society, (2012)