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Jonathan Shafer
Jonathan Shafer
MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
Learners that Use Little Information
R Bassily, S Moran, I Nachum, J Shafer, A Yehudayoff
Algorithmic Learning Theory, 25-55, 2018
1212018
Interactive Proofs for Verifying Machine Learning
S Goldwasser, GN Rothblum, J Shafer, A Yehudayoff
12th Innovations in Theoretical Computer Science Conference (ITCS 2021), 2021
482021
A Direct Sum Result for the Information Complexity of Learning
I Nachum, J Shafer, A Yehudayoff
Conference On Learning Theory 75, 1547-1568, 2018
222018
Fantastic Generalization Measures are Nowhere to be Found
M Gastpar, I Nachum, J Shafer, T Weinberger
The Twelfth International Conference on Learning Representations, 2024
14*2024
The Bayesian Stability Zoo
S Moran, H Schefler, J Shafer
Advances in Neural Information Processing Systems 36, 2024
112024
Fine-Grained Distribution-Dependent Learning Curves
O Bousquet, S Hanneke, S Moran, J Shafer, I Tolstikhin
The Thirty Sixth Annual Conference on Learning Theory, 5890-5924, 2023
92023
A Trichotomy for Transductive Online Learning
S Hanneke, S Moran, J Shafer
Advances in Neural Information Processing Systems 36, 2024
82024
PAC Verification of Statistical Algorithms
S Mutreja, J Shafer
The Thirty Sixth Annual Conference on Learning Theory, 5021-5043, 2023
62023
Oblivious Defense in ML Models: Backdoor Removal without Detection
S Goldwasser, J Shafer, N Vafa, V Vaikuntanathan
arXiv preprint arXiv:2411.03279, 2024
12024
Which Algorithms Have Tight Generalization Bounds?
M Gastpar, I Nachum, J Shafer, T Weinberger
arXiv preprint arXiv:2410.01969, 2024
2024
Topics in the Theory of Learning
J Shafer
UC Berkeley, 2024
2024
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Articles 1–11