Pedro Domingos is an Associate Professor of Computer Science and Engineering at the University of Washington.
His research interests are in artificial intelligence, machine learning and data mining. He received a PhD in Information and Computer Science from the University of California at Irvine, and is the author or co-author of over 100 technical publications. He is a member of the advisory board of JAIR, a member of the editorial board of the Machine Learning journal, and a co-founder of the International Machine Learning Society.
He was program co-chair of KDD-2003, and has served on numerous program committees. He has received several awards, including a Sloan Fellowship, an NSF CAREER Award, a Fulbright Scholarship, an IBM Faculty Award, and best paper awards at KDD-98, KDD-99 and PKDD-2005. He has carried out extensive research in the tutorial area, and served on the program committees of the last three SRL workshops (at ICML-2006, ICML-2004 and IJCAI-2003).
He has taught several graduate and undergraduate courses in AI and related topics at the University of Washington, including a course in the specific area of the tutorial.
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panel
Is Deep Learning the New 42?
as panelist at 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco 2016,
together with:
Andrei Broder (moderator),
Nando de Freitas (panelist),
Isabelle Guyon (panelist),
Jitendra Malik (panelist),
Jennifer Neville (panelist),
10151 views
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lecture
Principles of Very Large Scale Modeling
as author at 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014,
7183 views
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tutorial
Combining Logic and Probability: Languages, Algorithms and Applications
as author at 27th Conference on Uncertainty in Artificial Intelligence (UAI), Barcelona 2011,
together with:
Kristian Kersting,
10278 views
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lecture
Large-Scale Learning and Inference: What We Have Learned with Markov Logic Networks
as author at Large Scale Graphical Models,
7012 views
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panel
Panel Discussion
as author at ILP/MLG/SRL collocated International conferences/workshops on learning from relational, graph-based and probabilistic knowledge, Leuven 2009,
together with:
Stephen Muggleton,
Luc De Raedt,
Kristian Kersting,
Thomas Gartner,
Karsten Michael Borgwardt,
C. David Page Jr.,
Paolo Frasconi,
3937 views
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lecture
Machine Learning for the Web: A Unified View
as author at NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web,
11669 views
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panel
Machine Learning - Discussion
as author at NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web,
together with:
Raymond J. Mooney,
Lilyana Mihalkova,
Anton Schwaighofer (moderator),
3885 views
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lecture
Inference Complexity as Learning Bias
as author at Carnegie Mellon Machine Learning Lunch seminar,
4816 views
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keynote
Markov Logic: A Unifying Language for Information and Knowledge Management
as author at ACM 17th Conference on Information and Knowledge Management (CIKM), Napa Valley 2008,
13646 views
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lecture
Extracting Semantic Networks from Text via Relational Clustering
as author at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Antwerp 2008,
together with:
Stanley Kok,
7397 views
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panel
Knowledge and Language
as author at Workshops,
3316 views
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invited talk
Incorporating Prior Knowledge into NLP with Markov Logic
as author at Workshops,
7868 views
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tutorial
Statistical Modeling of Relational Data
as author at Tutorials,
19378 views
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lecture
Debate
as coauthor at 24th Annual International Conference on Machine Learning (ICML), Corvallis 2007,
together with:
Prasad Tadepalli (coauthor),
Thomas Dietterich (coauthor),
Lise Getoor (coauthor),
Bernhard Pfahringer (coauthor),
4582 views
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lecture
Ten problems for the next 10 years
as author at 24th Annual International Conference on Machine Learning (ICML), Corvallis 2007,
12488 views
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lecture
ILP Invited Panel - Structured Machine Learning: The Next 10 Years
as coauthor at 24th Annual International Conference on Machine Learning (ICML), Corvallis 2007,
together with:
Thomas Dietterich (coauthor),
Lise Getoor (coauthor),
Bernhard Pfahringer (coauthor),
Stephen Muggleton (coauthor),
9017 views
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tutorial
Practical Statistical Relational Learning
as author at Tutorials,
32855 views
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Springer,
