Jeremy Cohen

According to our database, Jeremy Cohen authored at least 6 papers between 2019 and 2024.

Collaborative distances:

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

2024

Understanding Optimization in Deep Learning with Central Flows.

Jeremy Cohen, Alex Damian, Ameet Talwalkar, Zico Kolter, Jason D. Lee

CoRR, 2024

2022

Adaptive Gradient Methods at the Edge of Stability.

Jeremy Cohen, Behrooz Ghorbani, Shankar Krishnan, Naman Agarwal, Sourabh Medapati, Michal Badura, Daniel Suo, David Cardoze, Zachary Nado, George E. Dahl, Justin Gilmer

CoRR, 2022

On the Maximum Hessian Eigenvalue and Generalization.

Simran Kaur, Jeremy Cohen, Zachary Chase Lipton

Proceedings of the Proceedings on "I Can't Believe It's Not Better!, 2022

2021

Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability.

Jeremy Cohen, Simran Kaur, Yuanzhi Li, J. Zico Kolter, Ameet Talwalkar

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Are Perceptually-Aligned Gradients a General Property of Robust Classifiers?

Simran Kaur, Jeremy Cohen, Zachary C. Lipton

CoRR, 2019

Certified Adversarial Robustness via Randomized Smoothing.

Jeremy Cohen, Elan Rosenfeld, J. Zico Kolter

Proceedings of the 36th International Conference on Machine Learning, 2019