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