Peter Leslie Bartlett (born 1966) is an Australian statistician, mathematician and computer scientist, Professor of the Graduate School in the Departments of Electrical Engineering and Computer Sciences and Statistics at the University of California, Berkeley, and Principal Scientist at Google DeepMind, having previously served as Head of Google Research Australia from 2022 to 2023. His research focuses on the theoretical foundations of machine learning and statistical learning theory, including generalisation bounds, neural network learning, optimisation methods and the theory of deep learning.
Facts
AwardMalcolm McIntosh Prize for Physical Scientist of the Year 1 AwardFellow of the Australian Academy of Science 1 AwardFellow of the Institute of Mathematical Statistics 1 Contribution Kind Highest HonourMember of the US National Academy of Sciences 2 Connections
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Source Peter L. Bartlett, Wikipedia
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Source Peter L. Bartlett, WikipediaLead sentence 1Quote, Lead sentence 1
Peter Leslie Bartlett (born 1966) is an Australian statistician, mathematician and computer scientist.
Sources
1. Peter L. Bartlett (Wikidata)
Wikidata alias: Peter Bartlett
Peter Bartlett
Wikidata P166: ACM Fellow
Wikidata P166 (award received): ACM Fellow.
Wikidata P166: Malcolm McIntosh Prize for Physical Scientist of the Year
Wikidata P166 (award received): Malcolm McIntosh Prize for Physical Scientist of the Year.
Wikidata P166: Fellow of the Australian Academy of Science
Wikidata P166 (award received): Fellow of the Australian Academy of Science.
Wikidata P166: Fellow of the Institute of Mathematical Statistics
Wikidata P166 (award received): Fellow of the Institute of Mathematical Statistics.
Wikidata alias: P. L. Bartlett
P. L. Bartlett
P569 (date of birth): year 1966
1966
View the Source2. Peter L. Bartlett, Wikipedia
Lead section
Peter Leslie Bartlett (born 1966) is an Australian statistician, mathematician and computer scientist.
Infobox: awards
Malcolm McIntosh Prize for Physical Scientist of the Year Institute of Mathematical Statistics Medallion Lecturer Institute of Mathematical Statistics, IMS Fellow Australian Laureate Fellowship, Australian Laureate Fellow Fellow of the Australian Academy of Science Association for Computing Machinery, ACM Fellow Member of the National Academy of Sciences
Infobox: known_for
Theoretical foundations of machine learning Statistical learning theory Theory of neural networks and deep learning
In Field: Machine Learning, Infobox: fields
Machine learning Statistical learning theory Statistics Computer science
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