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KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints.

, , , and . J. Mach. Learn. Res., (2022)

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Informational confidence bounds for self-normalized averages and applications.. ITW, page 1-5. IEEE, (2013)Beyond Average Return in Markov Decision Processes., , and . CoRR, (2023)Self-Concordant Analysis of Generalized Linear Bandits with Forgetting., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 658-666. PMLR, (2021)An Event Spacing Experiment., , and . ASYNC, page 47-56. IEEE Computer Society, (2002)On the Complexity of Best-Arm Identification in Multi-Armed Bandit Models., , and . J. Mach. Learn. Res., (2016)Fast Rate Learning in Stochastic First Price Bidding., , and . ACML, volume 157 of Proceedings of Machine Learning Research, page 1754-1769. PMLR, (2021)Algorithmic Learning Theory 2019: Preface., and . ALT, volume 98 of Proceedings of Machine Learning Research, page 1-2. PMLR, (2019)Optimal discovery with probabilistic expert advice., , and . CDC, page 6808-6812. IEEE, (2012)Best Arm Identification in Spectral Bandits., and . IJCAI, page 2220-2226. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening., , , , and . Algorithms, 13 (9): 206 (2020)