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Peter Bartlett
University Of California-Berkeley
$4,899,984
Attributed
$15,029,287
Total exposure
10
Grants
8
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $10.9M · FY2007–23$20M$15M$10M$5M$0
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NSF$15,029,287 · 10
By mechanism
—$15,029,287 · 10
Top collaborators
- Bin Yu3 shared
- Michael I Jordan3 shared
- Alexander Rakhlin1 shared
- Andrea Montanari1 shared
- Fernando Perez1 shared
- Josh Hug1 shared
- Martin Wainwright1 shared
- Michael Mahoney1 shared
Grant awards (10)
CIF: SMALL: Theoretical Foundations of Partially Observable Reinforcement Learning: Minimax Sample Complexity and Provably Efficient Algorithms$483,663
· FY2023 · CSE · contact PI
Foundations of Data Science Institute$5,900,308
· FY2020 · MPS · contact PI
Collaboration on the Theoretical Foundations of Deep Learning$5,000,000
· FY2020 · MPS · contact PI
RI: AF: Small: Optimizing probabilities for learning: sampling meets optimization$450,000
· FY2019 · CSE
TRIPODS: Berkeley Institute on the Foundations of Data Analysis$1,499,999
· FY2017 · CSE
RI: AF: Small: Deep Learning Theory$490,000
· FY2016 · CSE · contact PI
MCS: AF: Small: Algorithms for Large Scale Prediction Problems$350,000
· FY2011 · CSE · contact PI
Regularization Methods for Online Learning$299,965
· FY2008 · CSE · contact PI
Statistical Methods for Prediction of Individual Sequences$237,237
· FY2007 · MPS · contact PI
MSPA-MCS: Collaborative Research: Statistical Learning Methods for Complex Decision Problems in Natural Language Processing$318,115
· FY2004 · MPS · contact PI