Leslie Valiant

E69521

Leslie Valiant is a renowned computer scientist known for his foundational work in computational learning theory, complexity theory, and artificial intelligence.

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All labels observed (2)

Label Occurrences
Leslie Valiant canonical 7
Leslie G. Valiant 1

Statements (47)

Predicate Object
instanceOf academic
computer scientist
researcher
academicAdvisor Michael S. Paterson
surface form: Michael Paterson
awardReceived EATCS Award
Harvard College Professorship
surface form: Harvard University teaching awards

Donald E. Knuth Prize
surface form: Knuth Prize

NeurIPS Test of Time Award
Turing Award
citizenship United Kingdom
countryOfBirth United Kingdom
educatedAt Imperial College London
Cambridge University
surface form: University of Cambridge

University of Warwick
employer Harvard University
familyName Valiant
fieldOfWork artificial intelligence
computational complexity theory
computational learning theory
computer science
theoretical computer science
givenName Leslie
hasResearchInterest complexity classes
evolutionary computation
learning theory
machine learning
neural computation
parallel algorithms
knownFor Probably Approximately Correct learning (PAC learning)
Valiant–Vazirani theorem
Valiant’s theorem on #P-completeness of the permanent
foundational work in computational learning theory
theory of evolvability in computational learning
work in artificial intelligence
work in complexity theory
work on circuit complexity
work on parallel computation
languageSpoken English
memberOf American Academy of Arts and Sciences
Association for Computing Machinery
Harvard John A. Paulson School of Engineering and Applied Sciences
surface form: Harvard University School of Engineering and Applied Sciences

National Academy of Sciences
Royal Society
name Leslie Valiant self-link
notableWork Probably Approximately Correct learning (PAC learning)
surface form: “A Theory of the Learnable”

“Probably Approximately Correct” (book)
workPosition T. Jefferson Coolidge Professor of Computer Science

Referenced by (8)

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

Harold Pender Award notableRecipient Leslie Valiant
Leslie Valiant name Leslie Valiant self-link
EATCS Award notableRecipient Leslie Valiant
Probably Approximately Correct learning (PAC learning) introducedBy Leslie Valiant
subject surface form: Probably Approximately Correct learning
Valiant–Vazirani theorem namedAfter Leslie Valiant
“Probably Approximately Correct” (book) author Leslie Valiant
subject surface form: Probably Approximately Correct
“Probably Approximately Correct” (book) author Leslie Valiant
subject surface form: Probably Approximately Correct
this entity surface form: Leslie G. Valiant