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Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits.

, , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5065-5073. PMLR, (2021)

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Efficient Pure Exploration in Adaptive Round model., , , and . NeurIPS, page 6605-6614. (2019)Maximizing the Effect of Information Adoption: A General Framework., , , , , and . SDM, page 693-701. SIAM, (2018)Optimal Streaming Algorithms for Multi-Armed Bandits., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5045-5054. PMLR, (2021)Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5065-5073. PMLR, (2021)Tracking Top-K Influential Vertices in Dynamic Networks., , , , and . CoRR, (2018)Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization., , , , , and . Proc. VLDB Endow., 14 (10): 1756-1768 (2021)MOTS: Minimax Optimal Thompson Sampling., , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5074-5083. PMLR, (2021)Multi-Armed Bandits with Abstention., , and . CoRR, (2024)Double Explore-then-Commit: Asymptotic Optimality and Beyond., , , and . COLT, volume 134 of Proceedings of Machine Learning Research, page 2584-2633. PMLR, (2021)Thompson Sampling with Less Exploration is Fast and Optimal., , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 15239-15261. PMLR, (2023)