Pedro Domingos
homepage:http://www.cs.washington.edu/homes/pedrod/
search externally:   Google Scholar,   Springer,   CiteSeer,   Microsoft Academic Search,   Scirus ,   DBlife

Description

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.


Lectures:

panel
flag 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),
724 views
  lecture
flag Principles of Very Large Scale Modeling
as author at  20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York 2014,
462 views
tutorial
flag 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,
1392 views
  lecture
flag Large-Scale Learning and Inference: What We Have Learned with Markov Logic Networks
as author at  Large Scale Graphical Models,
715 views
panel
flag 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,
203 views
  lecture
flag Machine Learning for the Web: A Unified View
as author at  NIPS ˙08 Workshop: Beyond Search - Computational Intelligence for the Web,
1124 views
panel
flag 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),
139 views
  lecture
flag Inference Complexity as Learning Bias
as author at  Carnegie Mellon Machine Learning Lunch seminar,
206 views
keynote
flag 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,
1709 views
  lecture
flag 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,
471 views
panel
flag Knowledge and Language
as author at  Workshops,
208 views
  invited talk
flag Incorporating Prior Knowledge into NLP with Markov Logic
as author at  Workshops,
1025 views
tutorial
flag Statistical Modeling of Relational Data
as author at  Tutorials,
2953 views
  lecture
flag 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),
331 views
lecture
flag Ten problems for the next 10 years
as author at  24th Annual International Conference on Machine Learning (ICML), Corvallis 2007,
2331 views
  lecture
flag 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),
1056 views
tutorial
flag Practical Statistical Relational Learning
as author at  Tutorials,
5069 views