Schapire, Robert

14 publications

COLT 2025 On the Hardness of Bandit Learning Nataly Brukhim, Aldo Pacchiano, Miroslav Dudik, Robert Schapire

AISTATS 2024 Lexicographic Optimization: Algorithms and Stability Jacob A. Abernethy, Robert Schapire, Umar Syed

ICML 2021 Interactive Learning from Activity Description Khanh X Nguyen, Dipendra Misra, Robert Schapire, Miroslav Dudik, Patrick Shafto

ICML 2018 Learning Deep ResNet Blocks Sequentially Using Boosting Theory Furong Huang, Jordan Ash, John Langford, Robert Schapire

ICML 2018 Practical Contextual Bandits with Regression Oracles Dylan Foster, Alekh Agarwal, Miroslav Dudik, Haipeng Luo, Robert Schapire

ICML 2016 Efficient Algorithms for Adversarial Contextual Learning Vasilis Syrgkanis, Akshay Krishnamurthy, Robert Schapire

ICML 2014 Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits Alekh Agarwal, Daniel Hsu, Satyen Kale, John Langford, Lihong Li, Robert Schapire

ICML 2014 Towards Minimax Online Learning with Unknown Time Horizon Haipeng Luo, Robert Schapire

AISTATS 2012 Contextual Bandit Learning with Predictable Rewards Alekh Agarwal, Miroslav Dudik, Satyen Kale, John Langford, Robert Schapire

AISTATS 2011 Contextual Bandit Algorithms with Supervised Learning Guarantees Alina Beygelzimer, John Langford, Lihong Li, Lev Reyzin, Robert Schapire

AISTATS 2011 Contextual Bandits with Linear Payoff Functions Wei Chu, Lihong Li, Lev Reyzin, Robert Schapire

AISTATS 2009 Speed and Sparsity of Regularized Boosting Yongxin Xi, Zhen Xiang, Peter Ramadge, Robert Schapire

NeurIPS 1992 Improving Performance in Neural Networks Using a Boosting Algorithm Harris Drucker, Robert Schapire, Patrice Simard

NeurIPS 1991 Estimating Average-Case Learning Curves Using Bayesian, Statistical Physics and VC Dimension Methods David Haussler, Michael Kearns, Manfred Opper, Robert Schapire