Schapire, Robert E.

A decision-theoretic generalization of on-line learning and an application to boosting

Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences

Advanced Bandit Algorithms ResearchMachine Learning and Algorithms

Cited by 20,466

The Strength of Weak Learnability

Schapire, R. E. (1990) · Machine Learning

Machine Learning and AlgorithmsMachine Learning and Data Classification

Cited by 4,600

A contextual-bandit approach to personalized news article recommendation

Li, L., Chu, W., Langford, J., & Schapire, R. E. (2010) · Proceedings of the 19th international conference on World wide web

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 2,562

Game theory, on-line prediction and boosting

Freund, Y., & Schapire, R. E. (1996) · Proceedings of the ninth annual conference on Computational learning theory - COLT '96

Advanced Bandit Algorithms ResearchGame Theory and Applications

Cited by 383

Contextual Decision Processes with low Bellman rank are PAC-Learnable

Jiang, N., Krishnamurthy, A., Agarwal, A., Langford, J., & Schapire, R. E. (2016) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 144