Peter Bartlett


Peter Bartlett is a professor in the Division of Computer Science and Department of Statistics at the University of California at Berkeley. He is the co-author, with Martin Anthony, of the book Learning in Neural Networks: Theoretical Foundations, has edited three other books, and has co-authored many papers in the areas of machine learning and statistical learning theory. He has served as an associate editor of the journals Machine Learning, Mathematics of Control Signals and Systems, the Journal of Machine Learning Research, the Journal of Artificial Intelligence Research, and the IEEE Transactions on Information Theory, as a member of the editorial boards of Machine Learning, the Journal of Artificial Intelligence Research, and Foundations and Trends in Machine Learning, and as a member of the steering committees of the Conference on Computational Learning Theory and the Algorithmic Learning Theory Workshop. He has consulted to a number of organizations, including General Electric, Telstra, and SAC Capital Advisors. In 2001, he was awarded the Malcolm McIntosh Prize for Physical Scientist of the Year in Australia, for his work in statistical learning theory. He was a Miller Institute Visiting Research Professor in Statistics and Computer Science at U.C. Berkeley in Fall 2001, and a fellow, senior fellow and professor in the Research School of Information Sciences and Engineering at the Australian National University's Institute for Advanced Studies (1993-2003), and an honorary professor in the School of Information Technology and Electrical Engineering at the University of Queensland. His research interests include machine learning, statistical learning theory, and adaptive control.
Last update: Fri Mar 12 16:47:13 PST 2010