Peter Barlett

Research Expertise and Interest

machine learning, statistical learning theory, adaptive control

Research Description

Peter Bartlett is a professor in the Computer Science Division and Department of Statistics at the University of California at Berkeley and Head of Google Research Australia. His research interests include machine learning and statistical learning theory. He is the co-author, with Martin Anthony, of the book Neural Network Learning: Theoretical Foundations.  He has served as Associate Director of the Simons Institute for the Theory of Computing, as an associate editor of the journals Bernoulli, Mathematics of Operations Research, the Journal of Artificial Intelligence Research, the Journal of Machine Learning Research, the IEEE Transactions on Information Theory, Machine Learning, and Mathematics of Control Signals and Systems, and as program committee co-chair for COLT and NeurIPS. He has consulted to a number of organizations, including General Electric, Telstra, SAC Capital Advisors, and Sentient. He is an Honorary Professor at the Australian National University, he was awarded the Malcolm McIntosh Prize for Physical Scientist of the Year in Australia in 2001, and he was chosen as an Institute of Mathematical Statistics Medallion Lecturer in 2008, an IMS Fellow and Australian Laureate Fellow in 2011, and an ACM Fellow in 2018.  He was elected to the Australian Academy of Science in 2015.

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