Jonathan S. Rosenfeld

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 8

Top Topics

Perceptron Learning

Subspace Information Criterion

Generalization Error

Top Venues

Publications

Tony T. Wang, Igor Zablotchi, Nir Shavit, Jonathan S. Rosenfeld
Cliff-Learning. CoRR (2023)
Jonathan S. Rosenfeld, Jonathan Frankle, Michael Carbin, Nir Shavit
On the Predictability of Pruning Across Scales. ICML (2021)
Jonathan S. Rosenfeld
Scaling Laws for Deep Learning. CoRR (2021)
Jonathan S. Rosenfeld, Jonathan Frankle, Michael Carbin, Nir Shavit
On the Predictability of Pruning Across Scales. CoRR (2020)
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit
A Constructive Prediction of the Generalization Error Across Scales. ICLR (2020)
Tyler Brooke-Wilson, Jonathan S. Rosenfeld, Matthias Hofer, Junyi Chu, Josh Tenenbaum
Simplicity and Probability in Human Judgment. CogSci (2019)
Jonathan S. Rosenfeld, Amir Rosenfeld, Yonatan Belinkov, Nir Shavit
A Constructive Prediction of the Generalization Error Across Scales. CoRR (2019)
Dan Schmidt, Nick Moran, Jonathan S. Rosenfeld, Jonathan Rosenthal, Jonathan S. Yedidia
Self-Play Learning Without a Reward Metric. CoRR (2019)