One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees

Jinglin Peng, Bolin Ding, Jiannan Wang, Kai Zeng 0002, Jingren Zhou. One Size Does Not Fit All: A Bandit-Based Sampler Combination Framework with Theoretical Guarantees. In Zachary Ives, Angela Bonifati, Amr El Abbadi, editors, SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12 - 17, 2022. pages 531-544, ACM, 2022. [doi]

Abstract

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