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Achieving All with No Parameters: Adaptive NormalHedge., и . CoRR, (2015)Variance-Reduced and Projection-Free Stochastic Optimization., и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1263-1271. JMLR.org, (2016)More Adaptive Algorithms for Adversarial Bandits., и . COLT, том 75 из Proceedings of Machine Learning Research, стр. 1263-1291. PMLR, (2018)Adaptive Resource Provisioning for the Cloud Using Online Bin Packing., , , и . IEEE Trans. Computers, 63 (11): 2647-2660 (2014)Beating Stochastic and Adversarial Semi-bandits Optimally and Simultaneously., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 7683-7692. PMLR, (2019)Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds., , , и . CoRR, (2020)New lower bounds of fifteen classical Ramsey numbers., , , и . Australas. J Comb., (1999)Learning Infinite-Horizon Average-Reward Markov Decision Processes with Constraints., , и . CoRR, (2022)Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games., , , и . CoRR, (2022)WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct., , , , , , , , , и . CoRR, (2023)