Vladimir Vapnik

E367287

computer scientist machine learning researcher mathematician person statistician

Vladimir Vapnik is a pioneering computer scientist and statistician best known as a co-inventor of support vector machines and a founder of statistical learning theory.

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All labels observed (1)

Label	Occurrences
Vladimir Vapnik canonical	3

Statements (58)

Predicate	Object
instanceOf	computer scientist ⓘ machine learning researcher ⓘ mathematician ⓘ person ⓘ statistician ⓘ
authorOf	Estimation of Dependences Based on Empirical Data ⓘ The Nature of Statistical Learning Theory ⓘ surface form: Statistical Learning Theory The Nature of Statistical Learning Theory ⓘ
awardReceived	SIGKDD Innovation Award ⓘ surface form: ACM SIGKDD Innovation Award BBVA Foundation Frontiers of Knowledge Award ⓘ surface form: BBVA Foundation Frontiers of Knowledge Award in Information and Communication Technologies Gabor Award of the International Neural Network Society ⓘ IEEE Neural Networks Pioneer Award ⓘ
citizenship	Russia ⓘ United States of America ⓘ
coDeveloped	VC dimension concept ⓘ Vapnik–Chervonenkis theory ⓘ structural risk minimization principle ⓘ
coInvented	Support Vector Machines ⓘ surface form: support vector machines
educatedAt	Moscow State University ⓘ
employer	Bell Telephone Laboratories ⓘ surface form: AT&T Bell Labs Columbia University ⓘ Meta AI ⓘ surface form: Facebook AI Research NEC Research Institute ⓘ Royal Holloway, University of London ⓘ
fieldOfWork	machine learning ⓘ optimization ⓘ pattern recognition ⓘ statistical learning theory ⓘ statistics ⓘ
hasCollaborator	Alexey Chervonenkis ⓘ Corinna Cortes ⓘ Isabelle Guyon ⓘ Léon Bottou ⓘ
hasConceptNamedAfter	VC dimension ⓘ Vapnik–Chervonenkis theory ⓘ surface form: Vapnik–Chervonenkis classes Vapnik–Chervonenkis theory ⓘ
influenced	modern machine learning theory ⓘ support vector machine research community ⓘ
influencedBy	Andrei Kolmogorov ⓘ surface form: Andrey Kolmogorov Soviet school of probability theory ⓘ surface form: Russian school of probability and statistics
knownFor	VC dimension ⓘ Computational Learning Theory ⓘ surface form: Vapnik–Chervonenkis theory maximum margin classifier ⓘ statistical learning theory ⓘ structural risk minimization ⓘ Support Vector Machines ⓘ surface form: support vector machines theory of generalization in machine learning ⓘ
notableIdea	capacity control via VC dimension ⓘ maximum margin hyperplane in classification ⓘ structural risk minimization principle ⓘ
notableWork	Estimation of Dependences Based on Empirical Data ⓘ The Nature of Statistical Learning Theory ⓘ surface form: Statistical Learning Theory The Nature of Statistical Learning Theory ⓘ
positionHeld	professor at Columbia University ⓘ professor at Royal Holloway, University of London ⓘ research scientist at AT&T Bell Labs ⓘ research scientist at Facebook AI Research ⓘ NEC Research Institute ⓘ surface form: research scientist at NEC Research Institute

Referenced by (3)

Full triples — surface form annotated when it differs from this entity's canonical label.

Léon Bottou → hasAcademicAdvisor → Vladimir Vapnik ⓘ

NeurIPS Test of Time Award → notableRecipient → Vladimir Vapnik ⓘ

Corinna Cortes → coAuthorWith → Vladimir Vapnik ⓘ