Jonathan Shafer

22 papers A* 7A 1B 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Oblivious Defense in ML Models: Backdoor Removal without Detection. STOC Shafi Goldwasser, Jonathan Shafer, Neekon Vafa, Vinod Vaikuntanathan
2025	J	`jnl`	Optimal Mistake Bounds for Transductive Online Learning. CoRR Zachary Chase, Steve Hanneke, Shay Moran, Jonathan Shafer
2025	J	`jnl`	Protocols for Verifying Smooth Strategies in Bandits and Games. CoRR Miranda Christ, Daniel Reichman, Jonathan Shafer
2024	A*	`conf`	Fantastic Generalization Measures are Nowhere to be Found. ICLR Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
2024	J	`jnl`	Oblivious Defense in ML Models: Backdoor Removal without Detection. CoRR Shafi Goldwasser, Jonathan Shafer, Neekon Vafa, Vinod Vaikuntanathan
2024	J	`jnl`	Which Algorithms Have Tight Generalization Bounds? CoRR Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
2023	A*	`conf`	A Trichotomy for Transductive Online Learning. NeurIPS Steve Hanneke, Shay Moran, Jonathan Shafer
2023	J	`jnl`	A Trichotomy for Transductive Online Learning. CoRR Steve Hanneke, Shay Moran, Jonathan Shafer
2023	J	`jnl`	Fantastic Generalization Measures are Nowhere to be Found. CoRR Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger
2023	A*	`conf`	Fine-Grained Distribution-Dependent Learning Curves. COLT Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, Ilya O. Tolstikhin
2023	A*	`conf`	PAC Verification of Statistical Algorithms. COLT Saachi Mutreja, Jonathan Shafer
2023	A*	`conf`	The Bayesian Stability Zoo. NeurIPS Shay Moran, Hilla Schefler, Jonathan Shafer
2023	J	`jnl`	The Bayesian Stability Zoo. CoRR Shay Moran, Hilla Schefler, Jonathan Shafer
2023	—	`—`	Topics in the Theory of Learning Jonathan Shafer
2022	J	`jnl`	Fine-Grained Distribution-Dependent Learning Curves. CoRR Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, Ilya O. Tolstikhin
2022	J	`jnl`	PAC Verification of Statistical Algorithms. CoRR Saachi Mutreja, Jonathan Shafer
2021	A	`conf`	Interactive Proofs for Verifying Machine Learning. ITCS Shafi Goldwasser, Guy N. Rothblum, Jonathan Shafer, Amir Yehudayoff
2020	J	`jnl`	Interactive Proofs for Verifying Machine Learning. Electron. Colloquium Comput. Complex. Shafi Goldwasser, Guy N. Rothblum, Jonathan Shafer, Amir Yehudayoff
2018	A*	`conf`	A Direct Sum Result for the Information Complexity of Learning. COLT Ido Nachum, Jonathan Shafer, Amir Yehudayoff
2018	J	`jnl`	A Direct Sum Result for the Information Complexity of Learning. CoRR Ido Nachum, Jonathan Shafer, Amir Yehudayoff
2018	B	`conf`	Learners that Use Little Information. ALT Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff
2017	J	`jnl`	Learners that Leak Little Information. CoRR Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff