Boston University; Spanﬂug Technologies GmbH; University of Toronto
Jeffrey Negrea, Blair Bilodeau, Nicolò Campolongo, Francesco Orabona, Dan Roy
online learning;prediction with expert advice;quantile regret;semi-adversarial;adaptive online learning;FTRL;regularized learning;f-divergence;aggregation;generalized Bayes;online variational inference
Minimax Optimal Quantile and Semi-Adversarial Regret via Root-Logarithmic Regularizers