Leslie Valiant

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Leslie Valiant
FRS
Leslie Valiant.jpg
Leslie Valiant in 2005 (photo from MFO)
Born Leslie Gabriel Valiant
(1949-03-28) 28 March 1949 (age 69)
Budapest, Hungarian Republic
Nationality United Kingdom
Alma mater
Known for
Awards
Scientific career
Fields Mathematics
Computer Science
Institutions
Thesis Decision Procedures for Families of Deterministic Pushdown Automata (1974)
Doctoral advisor Mike Paterson[3]
Doctoral students
Website people.seas.harvard.edu/~valiant

Leslie Gabriel Valiant FRS[4][5] (born 28 March 1949) is a British computer scientist and computational theorist.[6] He is currently the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics at Harvard University.[7][8][9][10]

Education[edit]

Valiant was educated at King's College, Cambridge, Imperial College London, and University of Warwick where he received a PhD in computer science in 1974.[11][3]

Research and career[edit]

Valiant is world-renowned for his work in theoretical computer science. Among his many contributions to complexity theory, he introduced the notion of #P-completeness to explain why enumeration and reliability problems are intractable. He also introduced the "probably approximately correct" (PAC) model of machine learning that has helped the field of computational learning theory grow, and the concept of holographic algorithms. His earlier work in automata theory includes an algorithm for context-free parsing, which is (as of 2010) still the asymptotically fastest known. He also works in computational neuroscience focusing on understanding memory and learning.

Valiant's 2013 book is Probably Approximately Correct: Nature's Algorithms for Learning and Prospering in a Complex World[12]. In it he argues, among other things, that evolutionary biology does not explain the rate at which evolution occurs, writing, for example, "The evidence for Darwin's general schema for evolution being essentially correct is convincing to the great majority of biologists. This author has been to enough natural history museums to be convinced himself. All this, however, does not mean the current theory of evolution is adequately explanatory. At present the theory of evolution can offer no account of the rate at which evolution progresses to develop complex mechanisms or to maintain them in changing environments."

Valiant started teaching at Harvard University in 1982 and is currently the T. Jefferson Coolidge Professor of Computer Science and Applied Mathematics in the Harvard School of Engineering and Applied Sciences. Prior to 1982 he taught at Carnegie Mellon University, the University of Leeds, and the University of Edinburgh.

Awards and honors[edit]

Valiant received the Nevanlinna Prize in 1986, the Knuth Prize in 1997, the EATCS Award in 2008,[13] and the ACM Turing Award in 2010.[14][15] He was elected a Fellow of the Royal Society (FRS} in 1991,[4] a Fellow of the American Association for Artificial Intelligence,[when?] and a member of the National Academy of Sciences (USA).[when?] Valiant's nomination for the Royal Society reads:

Personal life[edit]

His two sons Gregory Valiant[16] and Paul Valiant[17] are both theoretical computer scientists, as faculty at Stanford University and Brown University respectively.


References[edit]

  1. ^ Valiant, L.; Vazirani, V. (1986). "NP is as easy as detecting unique solutions" (PDF). Theoretical Computer Science. 47: 85–93. doi:10.1016/0304-3975(86)90135-0. 
  2. ^ Valiant, L. G. (1979). "The Complexity of Enumeration and Reliability Problems". SIAM Journal on Computing. 8 (3): 410. doi:10.1137/0208032. 
  3. ^ a b c Leslie Valiant at the Mathematics Genealogy Project
  4. ^ a b "Leslie Valiant FRS". London: Royal Society. 1991. 
  5. ^ a b http://royalsociety.org/DServe/dserve.exe?dsqIni=Dserve.ini&dsqApp=Archive&dsqDb=Catalog&dsqCmd=show.tcl&dsqSearch=(RefNo==%27EC%2F1991%2F35%27)
  6. ^ Hoffmann, L. (2011). "Q&A: Leslie Valiant discusses machine learning, parallel computing, and computational neuroscience". Communications of the ACM. 54 (6): 128. doi:10.1145/1953122.1953152. 
  7. ^ Leslie Valiant author profile page at the ACM Digital Library
  8. ^ Wigderson, A. (2009). "The work of Leslie Valiant". Proceedings of the 41st annual ACM symposium on Symposium on theory of computing - STOC '09. p. 1. doi:10.1145/1536414.1536415. ISBN 9781605585062. 
  9. ^ Leslie G. Valiant at DBLP Bibliography Server Edit this at Wikidata
  10. ^ Valiant, Leslie (1984). "A theory of the learnable" (PDF). Communications of the ACM. 27 (11): 1134–1142. doi:10.1145/1968.1972. 
  11. ^ Valiant, Leslie (1973). Decision procedures for families of deterministic pushdown automata. warwick.ac.uk (PhD thesis). University of Warwick. OCLC 726087468. EThOS uk.bl.ethos.475930. 
  12. ^ Basic Books, ISBN 9780465032716
  13. ^ David Peleg The EATCS Award 2008 – Laudatio for Professor Leslie Valiant European Association of Theoretical Computer Science.
  14. ^ Josh Fishman "‘Probably Approximately Correct’ Inventor, From Harvard U., Wins Turing Award" Chronicle of Higher Education 9 March 2011.
  15. ^ ACM Turing Award Goes to Innovator in Machine Learning ACM Computing News
  16. ^ http://theory.stanford.edu/~valiant/
  17. ^ http://cs.brown.edu/~pvaliant/

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