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Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls., , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 139-148. JMLR.org, (2016)Maillard Sampling: Boltzmann Exploration Done Optimally., and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 54-72. PMLR, (2022)Improved Regret Bounds of Bilinear Bandits using Action Space Analysis., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 4744-4754. PMLR, (2021)Tighter PAC-Bayes Bounds Through Coin-Betting., , , and . CoRR, (2023)Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits., , and . CoRR, (2024)Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization., and . ICML, OpenReview.net, (2024)Adversarial Attacks on Stochastic Bandits., , , and . NeurIPS, page 3644-3653. (2018)Improved Confidence Bounds for the Linear Logistic Model and Applications to Bandits., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5148-5157. PMLR, (2021)Jointly Efficient and Optimal Algorithms for Logistic Bandits., , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 546-580. PMLR, (2022)Parameter-Free Online Convex Optimization with Sub-Exponential Noise., and . COLT, volume 99 of Proceedings of Machine Learning Research, page 1802-1823. PMLR, (2019)