PEDRO DOMINGOS



Professor

Address:
Dept. of Computer Science & Engineering
University of Washington
Box 352350
Seattle, WA 98195-2350

Telephone: (206) 543-4229
Fax: (206) 543-2969
Email: pedrod at cs dot washington dot edu
Office: 648 Allen Center

ICML-2014 Workshop on Learning Tractable Probabilistic Models

Online Machine Learning Class

(Click on "Preview" to see the videos, and on the slides to make them larger.)

Research Interests

My main research interests are in the fields of machine learning and data mining. I'd like to make computers do more with less help from us, learn from experience, adapt effortlessly, and discover new knowledge. We need computers that reduce the information overload by extracting the important patterns from masses of data. This poses many deep and fascinating scientific problems: How can a computer decide autonomously which representation is best for target knowledge? How can it tell genuine regularities from chance occurrences? How can pre-existing knowledge be exploited? How can a computer learn with limited computational resources? How can learned results be made understandable by us?

My research addresses these and related questions. Research topics that I'm working on, or have recently worked on, include:

Current Projects

Brief Bio

I received an undergraduate degree (1988) and M.S. in Electrical Engineering and Computer Science (1992) from IST, in Lisbon. I received an M.S. (1994) and Ph.D. (1997) in Information and Computer Science from the University of California at Irvine. I spent two years as an assistant professor at IST, before joining the faculty of the University of Washington in 1999. I'm the author or co-author of over 200 technical publications in machine learning, data mining, and other areas. I'm a member of the editorial board of the Machine Learning journal, co-founder of the International Machine Learning Society, and past associate editor of JAIR. I was program co-chair of KDD-2003 and SRL-2009, and I've served on the program committees of AAAI, ICML, IJCAI, KDD, NIPS, SIGMOD, UAI, WWW, and others. I'm a AAAI Fellow, and I've received a Sloan Fellowship, an NSF CAREER Award, a Fulbright Scholarship, an IBM Faculty Award, several best paper awards, and other distinctions.

Vita

Current Students

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Alumni


Software


Books

Selected Book Chapters

Selected Journal Papers

Selected Conference Papers


Teaching


Other Interests


Department of Computer Science and Engineering, University of Washington, Seattle

Last modified: March 17, 2014