Robert Schapire

Robert Elias Schapire
Alma mater	Brown University Massachusetts Institute of Technology
Known for	AdaBoost
Awards	Gödel prize (2003) Paris Kanellakis Award (2004)
Scientific career
Fields	Computer science
Institutions	Microsoft Research AT&T Labs Princeton University
Thesis	The design and analysis of efficient learning algorithms  (1991)
Doctoral advisor	Ronald Rivest
Website	http://rob.schapire.net/

Robert Elias Schapire is an American computer scientist renowned for his contributions to machine learning theory and its applications. He was formerly a computer science professor at Princeton University before joining Microsoft Research. His research focuses on theoretical and applied machine learning, with particular emphasis on ensemble learning.

Career

Schapire's most significant contribution to computer science is the development of boosting, a fundamental ensemble learning algorithm that has revolutionized machine learning. His doctoral dissertation, The design and analysis of efficient learning algorithms, earned him the ACM Doctoral Dissertation Award in 1991.^[1] In 1996, collaborating with Yoav Freund, he invented the AdaBoost algorithm, a breakthrough that led to their joint receipt of the Gödel Prize in 2003.

Schapire was elected an AAAI Fellow in 2009.^[2] In 2014, he was elected a member of the National Academy of Engineering for his contributions to machine learning through the invention and development of boosting algorithms.^[3] In 2016, he was elected to the National Academy of Sciences.^[4]

Selected works

Books

• Robert Schapire; Yoav Freund (2012). Boosting: Foundations and Algorithms. MIT. ISBN 978-0-262-01718-3.

References

1. "Robert Schapire". Awards Home. Association for Computing Machinery. Retrieved 2021-01-23.
2. "Elected AAAI Fellows". AAAI. Retrieved 2024-01-06.
3. "FACULTY HONOR: Rexford and Schapire elected to National Academy of Engineering". Princeton University. Retrieved 2020-06-29.
4. National Academy of Sciences Members and Foreign Associates Elected, News from the National Academy of Sciences, National Academy of Sciences, 2016-05-06, archived from the original on 6 May 2016, retrieved 2016-05-14.

External links

• Robert Schapire's home page