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Author Information
Niladri Chatterji (UC Berkeley)
Peter Bartlett (UC Berkeley)
Peter Bartlett is professor of Computer Science and Statistics at the University of California at Berkeley, Associate Director of the Simons Institute for the Theory of Computing, and Director of the Foundations of Data Science Institute. He has previously held positions at the Queensland University of Technology, the Australian National University and the University of Queensland. His research interests include machine learning and statistical learning theory, and he is the coauthor of the book Neural Network Learning: Theoretical Foundations. He has been Institute of Mathematical Statistics Medallion Lecturer, winner of the Malcolm McIntosh Prize for Physical Scientist of the Year, and Australian Laureate Fellow, and he is a Fellow of the IMS, Fellow of the ACM, and Fellow of the Australian Academy of Science.
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2021 Poster: On the Theory of Reinforcement Learning with OnceperEpisode Feedback »
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2021 Invited Talk: Benign Overfitting »
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2017 Poster: Near Minimax Optimal Players for the FiniteTime 3Expert Prediction Problem »
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2017 Poster: Spectrallynormalized margin bounds for neural networks »
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2017 Spotlight: Acceleration and Averaging in Stochastic Descent Dynamics »
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