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Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits.

, , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3601-3610. PMLR, (2019)

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Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings., , , , , , and . CIKM, page 2175-2182. ACM, (2018)Minimal Interaction Search in Recommender Systems., and . IUI, page 236-246. ACM, (2015)Nearly Optimal Adaptive Procedure with Change Detection for Piecewise-Stationary Bandit., , , and . AISTATS, volume 89 of Proceedings of Machine Learning Research, page 418-427. PMLR, (2019)Differentiable Bandit Exploration., , , , , and . CoRR, (2020)Efficient and Interpretable Bandit Algorithms., , and . CoRR, (2023)Fixed-Budget Best-Arm Identification with Heterogeneous Reward Variances., , , , and . UAI, volume 216 of Proceedings of Machine Learning Research, page 1164-1173. PMLR, (2023)SPPM: Sparse Privacy Preserving Mappings., , , and . UAI, page 712-721. AUAI Press, (2014)CORe: Capitalizing On Rewards in Bandit Exploration., , and . UAI, volume 161 of Proceedings of Machine Learning Research, page 1968-1978. AUAI Press, (2021)Automatic Tuning of Interactive Perception Applications., , , and . UAI, page 743-751. AUAI Press, (2010)TopRank: A practical algorithm for online stochastic ranking., , , and . NeurIPS, page 3949-3958. (2018)