Pedro Domingos

Pedro Domingos is a Professor at University of Washington. He is a researcher in machine learning known for Markov logic network enabling uncertain inference.

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

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. He started working for D.E. Shaw in 2018.

Publications

• 2015: The Master Algorithm
• 2015: (with Abram Friesen). Recursive Decomposition for Nonconvex Optimization. IJCAI 2015Distinguished Paper Award.
• 2011: (withHoifung Poon). Sum-Product Networks: A New Deep Architecture. UAI 2011 Best Paper Award..
• 2009: (withHoifung Poon). Unsupervised Semantic Parsing. EMNLP 2009 Best Paper Award.
• 2005: (withParag Singla). Object Identification with Attribute-Mediated Dependences. PKDD 2005 Best Paper Award.
• 1999: MetaCost: A General Method for Making Classifiers Cost-Sensitive. SIGKDD 1999 Best Paper Award for Fundamental Research.
• 1998: Occam's Two Razors: The Sharp and the Blunt. SIGKDD 1998 Best Paper Award for Fundamental Research.

Awards and honors

• 2014: ACM SIGKDD Innovation Award. for his foundational research in data stream analysis, cost-sensitive classification, adversarial learning, and Markov logic networks, as well as applications in viral marketing and information integration.
• 2010: Elected an Association for the Advancement of Artificial Intelligence (AAAI) Fellow. For significant contributions to the field of machine learning and to the unification of first-order logic and probability.
• 2003: Sloan Fellowship
• 1992-1997:Fulbright Scholarship