Minimax Regret of Switching-Constrained Online Convex Optimization: No Phase Transition

24 Oct 2019Lin ChenQian YuHannah LawrenceAmin Karbasi

We study the problem of switching-constrained online convex optimization (OCO), where the player has a limited number of opportunities to change her action. While the discrete analog of this online learning task has been studied extensively, previous work in the continuous setting has neither established the minimax rate nor algorithmically achieved it... (read more)

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