prediction with expert advice

Adversarial Online Learning with Temporal Feedback Graphs COLT 2024 On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX AISTATS 2024 Expert advice problem with noisy low rank loss ACML 2021 Prediction against a limited adversary JMLR 2021 New Potential-Based Bounds for Prediction with Expert Advice COLT 2020 Lipschitz Adaptivity with Multiple Learning Rates in Online Learning COLT 2019 On the optimality of the Hedge algorithm in the stochastic regime JMLR 2019 Efficient tracking of a growing number of experts ALT 2017 Soft-Bayes: Prod for Mixtures of Experts with Log-Loss ALT 2017 Achieving All with No Parameters: AdaNormalHedge COLT 2015 Exploiting easy data in online optimization NeurIPS 2014 Learning the Learning Rate for Prediction with Expert Advice NeurIPS 2014 Online Learning with Switching Costs and Other Adaptive Adversaries NeurIPS 2013 The Pareto Regret Frontier NeurIPS 2013 Distributed Non-Stochastic Experts NeurIPS 2012 Putting Bayes to sleep NeurIPS 2012 Prediction strategies without loss NeurIPS 2011