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Pedro Domingos

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This is an old revision of this page, as edited by Gem-fanat (talk | contribs) at 09:28, 20 January 2021 (→‎Controversies: I am no big fan of controversies and criticism sections - too political - though in this case one can argue there was one. In fact all controversy was limited to Twitter. So I changed the title.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.

Pedro Domingos
Alma materUniversity of California, Irvine (MS, PhD)
Instituto Superior Técnico - University of Lisbon (MS, Licentiate)
Known forThe Master Algorithm[2]
AwardsSIGKDD Innovation Award (2014)
AAAI Fellowship (2010)
Sloan Fellowship (2003)
Fulbright Scholarship (1992-1997)
Scientific career
FieldsArtificial intelligence
Machine learning
Data science[1]
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.[1] He is a researcher in machine learning known for Markov logic network enabling uncertain inference.[4][5]

Education

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

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]

Publications

Awards and honors

Social Media presence

In December 2020, Domingos was involved in a Twitter debate about AI ethics, Timnit Gebru’s controversial exit at Google, and cancel culture. [12] He has previously denied the existence of algorithmic biases.[13] Domingos's department at the University of Washington Paul G. Allen School of Computer Science & Engineering released a statement denouncing his comments[14]. A group of 50 academics decided to write an open letter in defense of free speech in science - whatever your political affiliation. Pedro Domingos was one of the signatories. [15]

References

  1. ^ a b Pedro Domingos publications indexed by Google Scholar Edit this at Wikidata
  2. ^ 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.
  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. ^ https://medium.com/syncedreview/pedro-domingo-will-lead-new-d-e-shaw-machine-learning-group-3c722e41aafc
  9. ^ "Curriculum Vitae" (PDF). Pedro M. Domingos. Retrieved 12 December 2020.
  10. ^ 2014 SIGKDD Innovation Award: Pedro Domingos
  11. ^ "Elected AAAI Fellows". aaai.org.
  12. ^ Soper, Taylor (16 December 2020). "Retired UW computer science professor embroiled in Twitter spat over AI ethics and 'cancel culture'". GeekWire. Retrieved 17 December 2020.
  13. ^ Anyangwe, Eliza (2020-03-10). "Algorithms that run our lives are racist and sexist. Meet the women trying to fix them". The Correspondent. Retrieved 2020-12-13.
  14. ^ Soper, Taylor (16 December 2020). "Retired UW computer science professor embroiled in Twitter spat over AI ethics and 'cancel culture'".
  15. ^ "Researchers.One". researchers.one. Retrieved 2021-01-03.
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