Vladimir Vapnik

Vladimir N. Vapnik
Born (1936-12-06) December 6, 1936
Tashkent, Uzbek SSR
Alma materInstitute of Control Sciences, Russian Academy of Sciences
Uzbek State University
Known forVapnik–Chervonenkis theory
Vapnik–Chervonenkis dimension
Support-vector machine
Support-vector clustering algorithm
Statistical learning theory
Structural risk minimization
AwardsKolmogorov Medal (2018)
IEEE John von Neumann Medal (2017)
Kampé de Fériet Award (2014)
C&C Prize (2013)
Benjamin Franklin Medal (2012)
IEEE Frank Rosenblatt Award (2012)
IEEE Neural Networks Pioneer Award (2010)
Paris Kanellakis Award (2008)
Fellow of the U.S. National Academy of Engineering (2006)
Gabor Award, International Neural Network Society (2005)
Alexander Humboldt Research Award (2003)
Scientific career
FieldsMachine learning
Statistics
InstitutionsFacebook Artificial Intelligence Research
Vencore Labs
NEC Laboratories America
Adaptive Systems Research Department, AT&T Bell Laboratories
Royal Holloway, University of London
Columbia University
Doctoral advisorAlexander Lerner

Vladimir Naumovich Vapnik (Russian: Владимир Наумович Вапник; born 6 December 1936) is a statistician, researcher, and academic. He is one of the main developers of the Vapnik–Chervonenkis theory of statistical learning and the co-inventor of the support-vector machine method and support-vector clustering algorithms.

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