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Leveraging User-Triggered Supervision in Contextual Bandits., , and . CoRR, (2023)Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions., , and . NIPS, page 1547-1555. (2012)Model-Based Reinforcement Learning with a Generative Model is Minimax Optimal., , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 67-83. PMLR, (2020)Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics., , , , and . ICLR, OpenReview.net, (2022)Stochastic Gradient Succeeds for Bandits., , , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 24325-24360. PMLR, (2023)FASt global convergence of gradient methods for solving regularized M-estimation., , and . SSP, page 409-412. IEEE, (2012)The Non-linear F-Design and Applications to Interactive Learning., , , and . ICML, OpenReview.net, (2024)Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions., , and . CISS, page 1-2. IEEE, (2014)Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions., , and . ICML, page 1129-1136. Omnipress, (2011)Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback., , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 7335-7344. PMLR, (2019)