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PAC-Bayesian Inequalities for Martingales, , , , and . CoRR, (2011)Open Problem: Adversarial Multiarmed Bandits with Limited Advice., , and . COLT, volume 30 of JMLR Workshop and Conference Proceedings, page 1067-1072. JMLR.org, (2013)Markovian domain fingerprinting: statistical segmentation of protein sequences., , , and . Bioinform., 17 (10): 927-934 (2001)Tsallis-INF for Decoupled Exploration and Exploitation in Multi-armed Bandits., and . COLT, volume 125 of Proceedings of Machine Learning Research, page 3227-3249. PMLR, (2020)Tsallis-INF: An Optimal Algorithm for Stochastic and Adversarial Bandits., and . J. Mach. Learn. Res., (2021)Chebyshev-Cantelli PAC-Bayes-Bennett Inequality for the Weighted Majority Vote., , , , and . NeurIPS, page 12625-12636. (2021)A Near-Optimal Best-of-Both-Worlds Algorithm for Online Learning with Feedback Graphs., , , and . NeurIPS, (2022)Advice-Efficient Prediction with Expert Advice, , and . CoRR, (2013)PAC-Bayes-Bernstein Inequality for Martingales and its Application to Multiarmed Bandits., , , , and . ICML On-line Trading of Exploration and Exploitation, volume 26 of JMLR Proceedings, page 98-111. JMLR.org, (2012)An Optimal Algorithm for Stochastic and Adversarial Bandits., and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 467-475. PMLR, (2019)