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A minimax near-optimal algorithm for adaptive rejection sampling.

, , , and . ALT, volume 98 of Proceedings of Machine Learning Research, page 94-126. PMLR, (2019)

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The Elliptical Potential Lemma Revisited., , and . CoRR, (2020)Tight (Lower) Bounds for the Fixed Budget Best Arm Identification Bandit Problem., and . COLT, volume 49 of JMLR Workshop and Conference Proceedings, page 590-604. JMLR.org, (2016)Finite Time Analysis of Stratified Sampling for Monte Carlo., and . NIPS, page 1278-1286. (2011)Online Learning with Feedback Graphs: The True Shape of Regret., and . ICML, volume 202 of Proceedings of Machine Learning Research, page 17260-17282. PMLR, (2023)Linear bandits with Stochastic Delayed Feedback., , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 9712-9721. PMLR, (2020)Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed Bandits., , , , , and . CoRR, (2015)Adaptivity to Noise Parameters in Nonparametric Active Learning., , and . COLT, volume 65 of Proceedings of Machine Learning Research, page 1383-1416. PMLR, (2017)A minimax near-optimal algorithm for adaptive rejection sampling., , , and . ALT, volume 98 of Proceedings of Machine Learning Research, page 94-126. PMLR, (2019)An optimal algorithm for the Thresholding Bandit Problem., , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1690-1698. JMLR.org, (2016)Toward Optimal Stratification for Stratified Monte-Carlo Integration., and . ICML (2), volume 28 of JMLR Workshop and Conference Proceedings, page 28-36. JMLR.org, (2013)