Kevin Jamieson
Scholar

Kevin Jamieson

Google Scholar ID: dq3yXjkAAAAJ
Associate Professor, University of Washington
Active learningexperimental designbanditsreinforcement learning
Citations & Impact
All-time
Citations
7,971
 
H-index
31
 
i10-index
55
 
Publications
20
 
Co-authors
6
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • - Recipient of an NSF CAREER award and Amazon Faculty Research award
  • - Publications in areas such as multi-armed bandits and subset selection, including 'Minimax Optimal Submodular Optimization with Bandit Feedback' (NeurIPS 2024) and 'The True Sample Complexity of Identifying Good Arms' (AISTATS 2020)
Research Experience
  • - Faculty at the University of Washington since 2017
  • - Postdoc at the AMP lab at the University of California, Berkeley, working with Benjamin Recht
Education
  • - B.S. in 2009 from the University of Washington, advised by Maya Gupta
  • - M.S. in 2010 from Columbia University, advised by Rui Castro
  • - Ph.D. in 2015 from the University of Wisconsin - Madison, advised by Robert Nowak, all in electrical engineering
Background
  • Associate Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, and Adjunct Professor in the Department of Statistics. His research focuses on leveraging already-collected data to inform future measurements, forming a closed-loop learning process.
Miscellany
  • Now recruiting graduate students and post-docs!