Pedro Domingos

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Pedro Domingos
Alma materUniversity of California, Irvine (MS, PhD)
Instituto Superior Técnico - University of Lisbon (MS, Licentiate)
Known forThe Master Algorithm[1]
AwardsSIGKDD Innovation Award (2014)
AAAI Fellowship (2010)
Sloan Fellowship (2003)
Fulbright Scholarship (1992-1997)
Scientific career
FieldsArtificial intelligence
Machine learning
Data science[2]
InstitutionsUniversity of Washington
ThesisA Unified Approach to Concept Learning (1997)
Doctoral advisorDennis F. Kibler
Websitehomes.cs.washington.edu/~pedrod/

Pedro Domingos is a Professor Emeritus[3] of computer science and engineering at the University of Washington.[2] He is a researcher in machine learning known for Markov logic network enabling uncertain inference.[4][5]

Education[edit]

Domingos received an undergraduate degree and Master of Science degree from Instituto Superior Técnico (IST).[6] He moved to the University of California, Irvine, where he received a Master of Science degree and followed by PhD.[6]

Research and career[edit]

After spending two years as an assistant professor at IST, he joined the University of Washington as an Assistant Professor of Computer Science and Engineering in 1999 and became a full professor in 2012.[7] He started a machine learning research group at the hedge fund D. E. Shaw & Co. in 2018,[8] but left in 2019.[9]

In 2020, Domingo criticized the research and activism of multiple AI ethicists, most notably Timnit Gebru and Anima Anandkumar, drawing some criticism himself.[10][11][12]

Publications[edit]

Awards and honors[edit]

References[edit]

  1. ^ a b Domingos, Pedro (2015). The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World. New York: Basic Books. ISBN 978-0-465-06570-7. OCLC 1039158596.
  2. ^ a b Pedro Domingos publications indexed by Google Scholar Edit this at Wikidata
  3. ^ "Emeritus Faculty". Paul G. Allen School of Computer Science & Engineering. Retrieved 12 December 2020.
  4. ^ "Pedro Domingos on the Arms Race in Artificial Intelligence". spiegel.de. Der Spiegel.
  5. ^ Domingos, Pedro; Pazzani, Michael (1997). "On the Optimality of the Simple Bayesian Classifier under Zero-One Loss". Machine Learning. 29 (2/3): 103–130. doi:10.1023/A:1007413511361. ISSN 0885-6125.
  6. ^ a b Domingos, Pedro. "Pedro Domingos". Retrieved 17 November 2018.
  7. ^ "Pedro Domingos | Computer Science & Engineering". www.cs.washington.edu. Retrieved 2019-05-12.
  8. ^ "Pedro Domingos Will Lead New D.E. Shaw Machine Learning Group". 17 August 2018.
  9. ^ "Curriculum Vitae" (PDF). Pedro M. Domingos. Retrieved 12 December 2020.
  10. ^ Schiffer, Zoe (2021-03-05). "Timnit Gebru was fired from Google — then the harassers arrived". The Verge. Retrieved 23 May 2021.
  11. ^ Soper, Taylor (2020-12-16). "Retired UW computer science professor embroiled in Twitter spat over AI ethics and 'cancel culture'". GeekWire. Retrieved 23 May 2021.
  12. ^ Greene, Tristan (2020-12-15). "'Why are minorities in STEM so easily offended?' And other stupid questions answered". The Next Web | Neural. Retrieved 23 May 2021.
  13. ^ Richardson, Matthew, and Pedro Domingos. "Markov logic networks." Machine learning 62.1-2 (2006): 107-136.
  14. ^ 2014 SIGKDD Innovation Award: Pedro Domingos
  15. ^ "Elected AAAI Fellows". aaai.org.