← Authors

Robert E. Schapire

35 papers · 2000–2024 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (6) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 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 (2) ICML (2) IJCAI (1)

Top co-authors

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

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
Corralling a Band of Bandit Algorithms COLT 2017
Contextual Decision Processes with low Bellman rank are PAC-Learnable ICML 2017
Instance-dependent Regret Bounds for Dueling Bandits COLT 2016
Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits NIPS 2016
Efficient and Parsimonious Agnostic Active Learning NIPS 2015
Collaborative Place Models IJCAI 2015
Contextual Dueling Bandits COLT 2015
Achieving All with No Parameters: AdaNormalHedge COLT 2015
Fast Convergence of Regularized Learning in Games NIPS 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
A Theory of Multiclass Boosting NIPS 2010
Non-Stochastic Bandit Slate Problems 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