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3 results for root-entropy

Study minimax regret in sequential probability assignment with and without side information.

problem Minimax regret analysis in sequential probability assignment.
method Upper and lower bounds on minimax regret using square-root entropy.
result Lower bound matches upper bound for Donsker classes, up to log factors.

Adapting Hedge algorithm for semi-adversarial data with root-entropy regularization.

problem Minimizing regret in prediction with expert advice under varying distributions.
method Follow-the-Regularized-Leader (FTRL) with root-entropy regularization.
result Adaptive minimax optimal regret across all levels of constraint sets.