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Fast global convergence of gradient methods for high-dimensional statistical recovery, , и . CoRR, (2011)Stochastic optimization and sparse statistical recovery: An optimal algorithm for high dimensions., , и . CISS, стр. 1-2. IEEE, (2014)Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions., , и . ICML, стр. 1129-1136. Omnipress, (2011)Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback., , , , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 7335-7344. PMLR, (2019)Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes., , , и . COLT, том 125 из Proceedings of Machine Learning Research, стр. 64-66. PMLR, (2020)Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes., , и . J. Mach. Learn. Res., (2010)Optimizing Interactive Systems via Data-Driven Objectives., , , , и . CoRR, (2020)A Multiworld Testing Decision Service., , , , , , , , , и 2 other автор(ы). CoRR, (2016)On the Optimality of Sparse Model-Based Planning for Markov Decision Processes., , и . CoRR, (2019)Model-based RL in Contextual Decision Processes: PAC bounds and Exponential Improvements over Model-free Approaches, , , , и . (2018)cite arxiv:1811.08540Comment: COLT 2019.