Robert E. Schapire
Robert E. Schapire researches machine learning and boosting. His work includes foundational studies of weak learnability and online learning. Schapire published The Strength of Weak Learnability in Machine Learning in 1990. With Yoav Freund, he co-authored A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. The paper appeared in the 1997 Journal of Computer and System Sciences. Schapire and Freund published Boosting: Foundations and Algorithms with MIT Press in 2012. His research also includes contextual-bandit learning and analysis of boosting methods.
Timeline
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1990
Weak learnability
Schapire published The Strength of Weak Learnability in Machine Learning in 1990.
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1997
Online learning and boosting
With Yoav Freund, he co-authored A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. The paper appeared in the 1997 Journal of Computer and System Sciences.
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2012
A shared boosting textbook
Schapire and Freund published Boosting: Foundations and Algorithms with MIT Press in 2012. His research also includes contextual-bandit learning and analysis of boosting methods.
Sources and credits
Photo: collaborate.princeton.edu; Robert E. Schapire - Princeton University; creator not stated. License: Not stated by source. Source: collaborate.princeton.edu. Cropped to a square and resized. Ask us to remove or replace this photo.