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Approximating Semidefinite Programs in Sublinear Time.

, и . NIPS, стр. 1080-1088. (2011)

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Leonard Ekangwo Elad

Dominique Eladari

Hossam Eladly

Elad Shimon Grozovski

 

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Online Learning with Prior Knowledge., и . COLT, том 4539 из Lecture Notes in Computer Science, стр. 499-513. Springer, (2007)Better Rates for Any Adversarial Deterministic MDP., и . ICML (3), том 28 из JMLR Workshop and Conference Proceedings, стр. 675-683. JMLR.org, (2013)Learning in Non-convex Games with an Optimization Oracle., , и . COLT, том 99 из Proceedings of Machine Learning Research, стр. 18-29. PMLR, (2019)Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization, , и . (2008)Improper Learning for Non-Stochastic Control., , и . COLT, том 125 из Proceedings of Machine Learning Research, стр. 3320-3436. PMLR, (2020)A Linearly Convergent Variant of the Conditional Gradient Algorithm under Strong Convexity, with Applications to Online and Stochastic Optimization., и . SIAM J. Optim., 26 (3): 1493-1528 (2016)Generating Adversarial Disturbances for Controller Verification., , , и . CoRR, (2020)Online Learning for Obstacle Avoidance., , , , , , и . CoRL, том 229 из Proceedings of Machine Learning Research, стр. 2926-2954. PMLR, (2023)The Blinded Bandit: Learning with Adaptive Feedback., , и . NIPS, стр. 1610-1618. (2014)Computational Equivalence of Fixed Points and No Regret Algorithms, and Convergence to Equilibria., и . NIPS, стр. 625-632. Curran Associates, Inc., (2007)