Nathan Srebro
Scholar

Nathan Srebro

Google Scholar ID: ZnT-QpMAAAAJ
Professor, TTIC and University of Chicago
Machine LearningStatistical Learning Theory
Google Scholar↗
Citations & Impact
All-time
Citations
25,604
 
H-index
63
 
i10-index
149
 
Publications
20
 
Co-authors
40
list available
Contact
No contact links provided.
Publications
15 items
Overfitting and Generalizing with (PAC) Bayesian Prediction in Noisy Binary Classification
2026
Cited
0
Recursive Models for Long-Horizon Reasoning
2026
Cited
0
Positive Distribution Shift as a Framework for Understanding Tractable Learning
2026
Cited
0
Research Program: Theory of Learning in Dynamical Systems
2025
Cited
0
Shift is Good: Mismatched Data Mixing Improves Test Performance
2025
Cited
0
Learning to Answer from Correct Demonstrations
2025
Cited
0
On the Hardness of Learning Regular Expressions
2025
Cited
0
Learning single-index models via harmonic decomposition
2025
Cited
0
Resume (English only)
Co-authors
40 total
Behnam Neyshabur
Behnam Neyshabur
Member of Technical Staff, Anthropic
Shai Shalev-Shwartz
Shai Shalev-Shwartz
The Hebrew University
Karthik Sridharan
Karthik Sridharan
Cornell University, University of Pennsylvania, Toyota Technological Institute
Ohad Shamir
Ohad Shamir
Weizmann Institute of Science
Jason D. Lee
Jason D. Lee
Associate Professor of EECS & Statistics at UC Berkeley
Ruslan Salakhutdinov
Ruslan Salakhutdinov
UPMC Professor, Machine Learning Department, CMU
Co-author 7
Co-author 7
Benjamin Recht
Benjamin Recht
Professor of EECS, University of California, Berkeley