most citedA closer look at temporal variability in dynamic online learning

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stat.ML2021

Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers

Jeffrey Negrea, Blair Bilodeau, Nicolò Campolongo +2

Quantile (and, more generally, KL) regret bounds, such as those achieved by NormalHedge (Chaudhuri, Freund, and Hsu 2009) and its variants, relax the goal of competing against the…