Peter Bartlett
Scholar

Peter Bartlett

Google Scholar ID: yQNhFGUAAAAJ
Professor, EECS and Statistics, UC Berkeley
machine learningstatistical learning theoryadaptive control
Citations & Impact
All-time
Citations
28,216
 
H-index
66
 
i10-index
183
 
Publications
20
 
Co-authors
48
list available
Resume (English only)
Academic Achievements
  • Delivered talks at many prestigious international conferences like NeurIPS 2021, ICML 2018, etc.; involved in and led multiple research projects on machine learning and related areas.
Research Experience
  • Has organized or participated in numerous academic conferences covering a wide range of topics from the fundamental theories of machine learning to its applications. Also taught several courses at UC Berkeley, including Statistical Learning Theory and Game Theory.
Education
  • Specific educational background information such as degrees, schools, and advisors is not provided.
Background
  • Research interests include machine learning and statistics; professional fields cover computer science and statistics; profile: Director of the Berkeley AI Research Lab, Foundations of Data Science Institute, Theoretical Foundations of Deep Learning Collaboration, ML Research Director at the Simons Institute for the Theory of Computing, Principal Scientist at Google DeepMind.
Miscellany
  • Supervised several students and postdoctoral researchers who are now affiliated with top institutions or companies such as Stanford University, MIT, etc.