Robert E. Schapire

Multi-distribution Learning: From Worst-Case Optimality to Lexicographic Min-Max Optimality ALT 2026 Provable Interactive Learning with Hindsight Instruction Feedback ICML 2024 A Unified Model and Dimension for Interactive Estimation NeurIPS 2023 Provably sample-efficient RL with side information about latent dynamics NeurIPS 2022 Bayesian decision-making under misspecified priors with applications to meta-learning NeurIPS 2021 Multiclass Boosting and the Cost of Weak Learning NeurIPS 2021 Gradient descent follows the regularization path for general losses COLT 2020 Interactive Learning of a Dynamic Structure ALT 2020 Reinforcement Learning with Convex Constraints NeurIPS 2019 On Oracle-Efficient PAC RL with Rich Observations NeurIPS 2018 Robust Inference for Multiclass Classification ALT 2018 Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017 Corralling a Band of Bandit Algorithms COLT 2017 Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits NeurIPS 2016 Instance-dependent Regret Bounds for Dueling Bandits COLT 2016 Achieving All with No Parameters: AdaNormalHedge COLT 2015 Collaborative Place Models IJCAI 2015 Contextual Dueling Bandits COLT 2015 Efficient and Parsimonious Agnostic Active Learning NeurIPS 2015 Fast Convergence of Regularized Learning in Games NeurIPS 2015 A Drifting-Games Analysis for Online Learning and Applications to Boosting NeurIPS 2014 Robust Multi-objective Learning with Mentor Feedback COLT 2014 A Theory of Multiclass Boosting JMLR 2013 The Rate of Convergence of AdaBoost JMLR 2013 Open Problem: Does AdaBoost Always Cycle? COLT 2012 The Rate of Convergence of Adaboost COLT 2011 A Reduction from Apprenticeship Learning to Classification NeurIPS 2010 A Theory of Multiclass Boosting NeurIPS 2010 Non-Stochastic Bandit Slate Problems NeurIPS 2010 Margin-based Ranking and an Equivalence between AdaBoost and RankBoost JMLR 2009 A Game-Theoretic Approach to Apprenticeship Learning NeurIPS 2007 FilterBoost: Regression and Classification on Large Datasets NeurIPS 2007 Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling JMLR 2007 The Dynamics of AdaBoost: Cyclic Behavior and Convergence of Margins JMLR 2004 An Efficient Boosting Algorithm for Combining Preferences JMLR 2003 Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers JMLR 2000 Maximum Entropy Correlated Equilibria AISTATS 1999