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Complexity Analysis of a Countable-armed Bandit Problem., и . ALT, том 201 из Proceedings of Machine Learning Research, стр. 850-890. PMLR, (2023)A Near-Optimal Exploration-Exploitation Approach for Assortment Selection., , , и . EC, стр. 599-600. ACM, (2016)A Closer Look at the Worst-case Behavior of Multi-armed Bandit Algorithms., и . NeurIPS, стр. 8807-8819. (2021)Last Switch Dependent Bandits with Monotone Payoff Functions., , , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 10265-10284. PMLR, (2023)Sparsity-Agnostic Lasso Bandit., , и . ICML, том 139 из Proceedings of Machine Learning Research, стр. 8271-8280. PMLR, (2021)Capacity Sizing Under Parameter Uncertainty: Safety Staffing Principles Revisited., , и . Manag. Sci., 56 (10): 1668-1686 (2010)A Doubly Robust Approach to Sparse Reinforcement Learning., , и . AISTATS, том 238 из Proceedings of Machine Learning Research, стр. 2305-2313. PMLR, (2024)Importance sampling simulation in the presence of heavy tails., , и . WSC, стр. 664-672. IEEE Computer Society, (2005)Towards Optimal Problem Dependent Generalization Error Bounds in Statistical Learning Theory., и . CoRR, (2020)Practical Nonparametric Sampling Strategies for Quantile-Based Ordinal Optimization., , и . INFORMS J. Comput., 34 (2): 752-768 (2022)