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Shifting, One-Inclusion Mistake Bounds and Tight Multiclass Expected Risk Bounds.

, , and . NIPS, page 1193-1200. MIT Press, (2006)

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Derivative-Free Methods for Policy Optimization: Guarantees for Linear Quadratic Systems., , , , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 2916-2925. PMLR, (2019)Improved Learning Complexity in Combinatorial Pure Exploration Bandits., , , , and . AISTATS, volume 51 of JMLR Workshop and Conference Proceedings, page 1004-1012. JMLR.org, (2016)Linear Programming for Large-Scale Markov Decision Problems., , and . ICML, volume 32 of JMLR Workshop and Conference Proceedings, page 496-504. JMLR.org, (2014)Testing Symmetric Markov Chains Without Hitting., and . COLT, volume 99 of Proceedings of Machine Learning Research, page 758-785. PMLR, (2019)Langevin Monte Carlo without Smoothness., , , and . CoRR, (2019)Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families., , , , and . COLT, volume 30 of JMLR Workshop and Conference Proceedings, page 639-661. JMLR.org, (2013)Sparseness Versus Estimating Conditional Probabilities: Some Asymptotic Results., and . COLT, volume 3120 of Lecture Notes in Computer Science, page 564-578. Springer, (2004)An Introduction to Reinforcement Learning Theory: Value Function Methods.. Machine Learning Summer School, volume 2600 of Lecture Notes in Computer Science, page 184-202. Springer, (2002)Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes., , and . COLT, page 362-367. ACM, (1994)Learning With a Slowly Changing Distribution.. COLT, page 243-252. ACM, (1992)