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# Open Problem: Model Selection for Contextual Bandits

*Proceedings of Thirty Third Conference on Learning Theory*, PMLR 125:3842-3846, 2020.

#### Abstract

In statistical learning, algorithms for model selection allow the learner to adapt to the complexity of the best hypothesis class in a sequence. We ask whether similar guarantees are possible for contextual bandit learning.