Yoav Freund

Yoav Freund (Hebrew: יואב פרוינד) is an Israeli professor of computer science at the University of California San Diego who mainly works on machine learning, probability theory and related fields and applications.[1] He is best known for his work on the AdaBoost algorithm, an ensemble learning algorithm which is used to combine many "weak" learning machines to create a more robust one.[2] He received the Gödel prize in 2003 for his work on AdaBoost with Robert Schapire.[3]

Yoav Freund
Alma materUniversity of California, Santa Cruz
Known forAdaBoost
AwardsGödel prize (2003)
Scientific career
FieldsComputer Science
InstitutionsUniversity of California San Diego
ThesisData filtering and distribution modeling algorithms for machine learning (1993)
Doctoral advisorManfred K. Warmuth, David Haussler

He is an alumnus of the prestigious Talpiot program of the Israeli army.

Selected works


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

See also


  1. "Yoav Freund's Home Page". cseweb.ucsd.edu. Retrieved 2018-05-05.
  2. Freund, Yoav; Schapire, Robert E. (1996-07-03). Experiments with a new boosting algorithm. Morgan Kaufmann Publishers Inc. pp. 148–156. ISBN 978-1558604193.
  3. "2003 Gödel Prize". www.sigact.org. Retrieved 2018-05-05.
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