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Peter L. Bartlett. Professor, Computer Science and Statistics. Berkeley AI Research Lab. Director, Foundations of Data Science Institute. Director, Collaboration on the Theoretical Foundations of Deep Learning. ML Research Director, Simons Institute for the Theory of Computing. UC Berkeley. Principal Scientist, Google DeepMind.
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Peter L. Bartlett, David P. Helmbold, and Philip M. Long....
- Biography
Peter Bartlett is a professor in the Department of...
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Peter Bartlett's Talks. Optimization in high-dimensional...
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Martin Anthony and Peter L. Bartlett. This book describes...
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Ella at four days: Last update: Sun Jun 30 21:49:09 2002
- Peter Bartlett
Peter Bartlett is a professor in the Department of...
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Peter Bartlett Professor, EECS and Statistics, UC Berkeley Verified email at cs.berkeley.edu - Homepage machine learning statistical learning theory adaptive control
Jul 24, 2022 · Peter L. Bartlett. Professor. Department of Electrical Engineering and Computer Sciences. Department of Statistics. Berkeley AI Research Lab. University of California at Berkeley. Director. Collaboration on the Theoretical Foundations of Deep Learning. Director.
Peter Bartlett is a professor of electrical engineering, statistics, and data science at UC Berkeley, and the head of Google Research Australia. He is a leading expert in machine learning and statistical learning theory, and has co-authored a book on neural network learning.
Peter Bartlett is a professor in the Department of Electrical Engineering and Computer Sciences and the Department of Statistics and Head of Google Research Australia.
Peter L. Bartlett, David P. Helmbold, and Philip M. Long. Gradient descent with identity initialization efficiently learns positive definite linear transformations by deep residual networks.
Peter Bartlett is a current faculty member of the Department of Statistics at UC Berkeley. His research interests are in machine learning, statistical learning theory, and reinforcement learning, with a focus on computational efficiency and complexity.