← Leaderboards
Avrim Blum
Carnegie Mellon University
$5,038,274
Attributed
$8,709,559
Total exposure
19
Grants
14
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 $2.6M · FY2005–22$5M$3.8M$2.5M$1.3M$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
Funding mix
By agency
NSF$8,709,559 · 19
By mechanism
—$8,709,559 · 19
Top collaborators
- John D Lafferty2 shared
- Ariel D Procaccia1 shared
- Daniel D Sleator1 shared
- Guy E Blelloch1 shared
- Jaime G Carbonell1 shared
- Julia Chuzhoy1 shared
- Manuel Blum1 shared
- Maria-Florina Balcan1 shared
Grant awards (19)
Institute for Data, Econometrics, Algorithms and Learning (IDEAL)$1,820,750
· FY2022 · ENG · contact PI
AF: Small: Foundations for Societal Machine Learning$597,194
· FY2022 · CSE · contact PI
Graduate Research Fellowship Program (GRFP)$181,333
· FY2022 · EDU · contact PI
Computer and Information Science and Engineering Graduate Fellowships (CSGrad4US)$46,000
· FY2022 · CSE · contact PI
AF: Small: Foundations for Collaborative and Information-Limited Machine Learning$324,884
· FY2018 · CSE · contact PI
AitF: Algorithms and Mechanisms for Kidney Exchange$799,621
· FY2017 · CSE
Graduate Research Fellowship Program (GRFP)$184,000
· FY2017 · EDU · contact PI
AF: Small: New Directions in Learning Theory$98,041
· FY2017 · CSE · contact PI
AitF: FULL: From Worst-Case to Realistic-Case Analysis for Large Scale Machine Learning Algorithms$719,986
· FY2015 · CSE
AF: Small: New Directions in Learning Theory$450,000
· FY2015 · CSE · contact PI
BSF: 2012251: Algorithmic Game Theory meets Computational Learning Theory$32,939
· FY2013 · CSE · contact PI
RI: Medium: Interactive Transfer Learning in Dynamic Environments$1,048,227
· FY2011 · CSE
AF: Small: Frameworks for Design and Analysis of Heuristics$358,000
· FY2011 · CSE · contact PI
ICES: Small: Collaborative Research: Algorithms and Mechanisms for Pricing, Influencing Dynamics, and Economic Optimization$199,594
· FY2011 · CSE · contact PI
A Learning Theory Approach to Algorithmic Game Theory, Database Privacy, and Clustering$368,000
· FY2008 · CSE · contact PI
Machine Learning, Approximation Algorithms, and Planning under Uncertainty$200,000
· FY2005 · CSE · contact PI
ITR: Machine Learning from Labeled and Unlabeled Data$395,000
· FY2003 · CSE
Machine Learning, On-line Algorithms, and Optimization$285,990
· FY2001 · CSE · contact PI
ITR: Algorithms: From Theory to Application$600,000
· FY2000 · CSE