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Professor Peter Bartlett

Science and Engineering Faculty,
Mathematical Sciences,
Statistical Science

Personal

Name
Professor Peter Bartlett
Position(s)
Professor
Science and Engineering Faculty,
Mathematical Sciences,
Statistical Science
Discipline *
Applied Mathematics, Numerical and Computational Mathematics, Statistics
Phone
+61 7 3138 5114
Fax
+61 7 3138 2310
Email
Location
View location details (QUT staff and student access only)
Qualifications

PhD (University of Queensland)

Professional memberships
and associations

Professor Bartlett has served as an associate editor of the journals:

Professor Bartlett has also served as a member of the editorial boards of:

Professor Bartlett was also a member of the steering committees of:

He is a Fellow of the IMS and a member of the ACM and IEEE.

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Biography

Peter Bartlett is a Professor in the Faculty of Science and Technology, awarded an Australian Research Council 2011 Australian Laureate Fellowship to further his work in large-scale statistical machine learning.

His research interests include machine learning, statistical learning theory, and adaptive control.

Professor Bartlett, who is also Professor at the University of California at Berkeley, was recently named Fellow of the Institute of Mathematical Statistics.

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.

In August 2011 Professor Peter Bartlett was awarded an Australian Laureate Fellowship by the Australian Research Council.  This rare award, valued at $2.78m over 5 years, is extended only to researchers of international repute in recognition of significant, sustained leadership in building Australia’s international competitive research capacity.

This information has been contributed by Professor Peter Bartlett.

Experience

Peter Bartlett is a Research Capacity Building Professor in the Faculty of Science and Technology.  Internationally recognised for his cutting-edge work bridging computer science and statistics.

 

 

This information has been contributed by Professor Peter Bartlett.

Publications


For more publications by this staff member, visit QUT ePrints, the University's research repository.

Research projects

Grants and projects (Category 1: Australian Competitive Grants only)

Title
Large-Scale Statistical Machine Learning
Primary fund type
CAT 1 - Australian Competitive Grant
Project ID
FL110100281
Start year
2011
Keywords
Statistical Machine Learning; Learning Theory; Prediction; Pattern Recognition