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Robert Schapire

From Wikipedia, the free encyclopedia
Robert Elias Schapire
Alma materBrown University
Massachusetts Institute of Technology
Known forAdaBoost
AwardsGödel prize (2003)
Paris Kanellakis Award (2004)
Scientific career
FieldsComputer science
InstitutionsMicrosoft Research
AT&T Labs
Princeton University
Thesis The design and analysis of efficient learning algorithms  (1991)
Doctoral advisorRonald Rivest
Websitehttp://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

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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

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Books

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

References

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  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.
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