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Unconstrained Submodular Maximization with Modular Costs: Tight Approximation and Application to Profit Maximization.

, , , , , and . Proc. VLDB Endow., 14 (10): 1756-1768 (2021)

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Efficient Pure Exploration in Adaptive Round model., , , and . NeurIPS, page 6605-6614. (2019)Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits., , , , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5065-5073. PMLR, (2021)Optimal Streaming Algorithms for Multi-Armed Bandits., , , and . ICML, volume 139 of Proceedings of Machine Learning Research, page 5045-5054. PMLR, (2021)Maximizing the Effect of Information Adoption: A General Framework., , , , , and . SDM, page 693-701. SIAM, (2018)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)A Markov Chain Monte Carlo Approach for Source Detection in Networks., , , , , and . SMP, volume 774 of Communications in Computer and Information Science, page 77-88. Springer, (2017)Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs., , , and . AAAI, page 12956-12964. AAAI Press, (2024)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)