Robert Schapire

From Wikipedia, the free encyclopedia
Jump to navigation Jump to search
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, former David M. Siegel '83 Professor in the computer science department at Princeton University, and has recently moved to Microsoft Research. His primary specialty is theoretical and applied machine learning.

His work led to the development of the boosting ensemble algorithm used in machine learning. Together with Yoav Freund, he invented the AdaBoost algorithm in 1996. They both received the Gödel prize in 2003 for this work.

In 2014, Schapire was elected to the National Academy of Engineering for his contributions to machine learning through the invention and development of boosting algorithms.[1] In 2016, he was elected to the National Academy of Sciences. [2]

Personal life[edit]

His son, Zachary Schapire, currently attends his alma mater, Brown University. His daughter, Jennifer Schapire, is an aspiring singer-songwriter studying at Oberlin College.

References[edit]

  1. ^ https://www.princeton.edu/main/news/archive/S39/17/99C25/
  2. ^ 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 .

Selected works[edit]

Books[edit]

External links[edit]