Postdoctoral Fellowship: MSPRF: Towards Optimal Learning under Distribution Shift: New Algorithms, Optimality Guarantees, and Fundamental Limits

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $190,000 · view on nsf.gov ↗

Abstract

This award is made as part of the FY 2025 Mathematical Sciences Postdoctoral Research Fellowships Program. Each of the fellowships supports a research and training project at a host institution in the mathematical sciences, including applications to other disciplines, under the mentorship of a sponsoring scientist. The title of the project for this fellowship to Reese Pathak is “Towards Optimal Learning under Distribution Shift: New Algorithms, Optimality Guarantees, and Fundamental Limits”. The host institution for the fellowship is the University of California - Berkeley and the sponsoring scientist is Nikita Zhivotovskiy. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Key facts

NSF award ID
2503579
Awardee
Pathak, Reese (CA)
PI
Reese Pathak
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
POSTDOCTORAL FELLOWSHIPS IN MATH SCIENCE
Estimated total
$190,000
Funds obligated
$190,000
Transaction type
Fellowship Award
Period
07/01/2025 → 06/30/2029