An Information-Theoretic Analysis of Nonstationary Bandit Learning

Seungki Min, Daniel Russo 0001. An Information-Theoretic Analysis of Nonstationary Bandit Learning. In Andreas Krause 0001, Emma Brunskill, KyungHyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett, editors, International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA. Volume 202 of Proceedings of Machine Learning Research, pages 24831-24849, PMLR, 2023. [doi]

Abstract

Abstract is missing.