Princeton-affiliated paper: stochastic contexts make adversarial online learning efficiently computable
HazanPrinceton · x · 2026-10-06
A theory paper with Princeton's Elad Hazan answers affirmatively whether stochastic contexts can make adversarial online learning computationally as easy as statistical learning, for binary prediction, with an application to contextual bandits.
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