Jonathan Shafer

According to our database, Jonathan Shafer authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Fantastic Generalization Measures are Nowhere to be Found.

Michael Gastpar, Ido Nachum, Jonathan Shafer, Thomas Weinberger

CoRR, 2023

The Bayesian Stability Zoo.

Shay Moran, Hilla Schefler, Jonathan Shafer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Trichotomy for Transductive Online Learning.

Steve Hanneke, Shay Moran, Jonathan Shafer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PAC Verification of Statistical Algorithms.

Saachi Mutreja, Jonathan Shafer

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Fine-Grained Distribution-Dependent Learning Curves.

Olivier Bousquet, Steve Hanneke, Shay Moran, Jonathan Shafer, Ilya O. Tolstikhin

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2020

Interactive Proofs for Verifying Machine Learning.

Shafi Goldwasser, Guy N. Rothblum, Jonathan Shafer, Amir Yehudayoff

Electron. Colloquium Comput. Complex., 2020

2018

A Direct Sum Result for the Information Complexity of Learning.

Ido Nachum, Jonathan Shafer, Amir Yehudayoff

Proceedings of the Conference On Learning Theory, 2018

Learners that Use Little Information.

Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff

Proceedings of the Algorithmic Learning Theory, 2018

2017

Learners that Leak Little Information.

Raef Bassily, Shay Moran, Ido Nachum, Jonathan Shafer, Amir Yehudayoff

CoRR, 2017