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Robert E. Schapire

36 papers · 2000–2026 · 6 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (16) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird
πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (24) πŸ—ΊοΈ Taxonomy Completionist (16) 🌟 Keyword Trendsetter Combo (5) πŸ”¬ Deep Specialist (14) 🌱 Topic Pioneer πŸ† Keyword Champion (3) πŸ’Ž Century Club (35) πŸ—ƒοΈ Keyword Collector (50) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (16) πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner

Conferences

NIPS (15) COLT (8) JMLR (7) ALT (3) ICML (2) IJCAI (1)

Top co-authors

Alekh Agarwal (6) Cynthia Rudin (5) Haipeng Luo (5) Indraneel Mukherjee (5) Miro Dudik (4) Miroslav DudΓ­k (4) Akshay Krishnamurthy (4) Umar Syed (3) John Langford (3) Dipendra Misra (2)

Keywords

regret bound (10) online learning (7) multiclass classification (5) contextual bandit (4) reinforcement learning (4) boosting algorithm (4) classification (3) ensemble learning (3) weak learner (3) pac learning (3) weak classifier (3) game theory (3) multi-armed bandit (3) imitation learning (2) exponential loss (2) binary classification (2) apprenticeship learning (2) interactive learning (2) convergence analysis (2) agnostic learning (2)

Papers

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 NIPS 2023 Provably sample-efficient RL with side information about latent dynamics NIPS 2022 Multiclass Boosting and the Cost of Weak Learning NIPS 2021 Bayesian decision-making under misspecified priors with applications to meta-learning NIPS 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 NIPS 2019 Robust Inference for Multiclass Classification ALT 2018 On Oracle-Efficient PAC RL with Rich Observations NIPS 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 NIPS 2016 Instance-dependent Regret Bounds for Dueling Bandits COLT 2016 Contextual Dueling Bandits COLT 2015 Achieving All with No Parameters: AdaNormalHedge COLT 2015 Fast Convergence of Regularized Learning in Games NIPS 2015 Efficient and Parsimonious Agnostic Active Learning NIPS 2015 Collaborative Place Models IJCAI 2015 Robust Multi-objective Learning with Mentor Feedback COLT 2014 A Drifting-Games Analysis for Online Learning and Applications to Boosting NIPS 2014 The Rate of Convergence of AdaBoost JMLR 2013 A Theory of Multiclass Boosting 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 NIPS 2010 Non-Stochastic Bandit Slate Problems NIPS 2010 A Theory of Multiclass Boosting NIPS 2010 Margin-based Ranking and an Equivalence between AdaBoost and RankBoost JMLR 2009 FilterBoost: Regression and Classification on Large Datasets NIPS 2007 Maximum Entropy Density Estimation with Generalized Regularization and an Application to Species Distribution Modeling JMLR 2007 A Game-Theoretic Approach to Apprenticeship Learning NIPS 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