Leslie Valiant
E69521
Leslie Valiant is a renowned computer scientist known for his foundational work in computational learning theory, complexity theory, and artificial intelligence.
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.
subject surface form:
Probably Approximately Correct learning
subject surface form:
Probably Approximately Correct
subject surface form:
Probably Approximately Correct
this entity surface form:
Leslie G. Valiant