Thomas G. Dietterich

Tom Dietterich

Thomas G. Dietterich

Distinguished Professor Emeritus
CoRIS Associate Director of Policy
Collaborative Robotics and Intelligent Systems Institute
Electrical Engineering and Computer Science

2067 Kelley Engineering Center
Corvallis, OR 97331
United States

Ph.D., Computer Science, Stanford University, 1984
M.S., Computer Science, University of Illinois, 1979
A.B., Mathematics, Oberlin College, 1977 with honors in mathematics (probability and statistics)
Research Expertise

Robust ai, machine learning, anomaly detection, computational sustainability


Thomas G. Dietterich (A.B. Oberlin College 1977; M.S. University of Illinois 1979; Ph.D. Stanford University 1984) is one of the founders of the field of machine learning. Among his research contributions was the application of error-correcting output coding to multiclass classification, the formalization of the multiple-instance problem, the MAXQ framework for hierarchical reinforcement learning, and the development of methods for integrating non-parametric regression trees into probabilistic graphical models (including conditional random fields and latent variable models). Among his writings are Chapter XIV (Learning and Inductive Inference) of the Handbook of Artificial Intelligence, the book Readings in Machine Learning (co-edited with Jude Shavlik), and his frequently-cited review articles Machine Learning Research: Four Current Directions and Ensemble Methods in Machine Learning.

Dietterich has devoted many years of service to the research community and was recently given the ACML Distinguished Contribution Award and the AAAI Distinguished Service Award. He is a former president of the Association for the Advancement of Artificial Intelligence and the founding president of the International Machine Learning Society. Other major roles include Executive Editor of the journal Machine Learning, co-founder of the Journal for Machine Learning Research, and program chair of AAAI 1990 and NIPS 2000. He currently serves on the DARPA ISAT Steering Committee and as one of the moderators for the machine learning category (cs.LG) on arXiv.

2023 Fulbright Expert Visitor, University of Ljubljana
2022 Distinguished Service Award, Association for the Advancement of Artificial Intelligence
2020 Distinguished Contribution Award, Asian Conference on Machine Learning
2018 Fulbright Expert Visitor, Tsinghua University
2017 University of Illinois, Urbana-Champaign Department of Computer Science Distinguished Educator Award
2015 OSU Postdoctoral Mentoring Award
2013 OSU Distinguished Professor Award
2012 ACM Distinguished Lecture
2007 AAAS, Fellow
2004 OSU College of Engineering Collaboration Award
2003 JAIR Award for Best Paper in Previous Five Years, Winner
2002 ACM, Fellow
2000 ACM SIGKDD Best Application Paper Award
1998 OSU College of Engineering Research Award
1994 AAAI, Fellow
1987 NSF Presidential Young Investigator Award

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