Uri Sherman

According to our database, Uri Sherman authored at least 12 papers between 2021 and 2025.

Collaborative distances:

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

2025

Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime.

Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren

CoRR, July, 2025

Convergence and Sample Complexity of First-Order Methods for Agnostic Reinforcement Learning.

Uri Sherman, Tomer Koren, Yishay Mansour

CoRR, July, 2025

Optimal Rates in Continual Linear Regression via Increasing Regularization.

Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Itay Evron

CoRR, June, 2025

Better Rates for Random Task Orderings in Continual Linear Models.

Itay Evron, Ran Levinstein, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Nathan Srebro

CoRR, April, 2025

Convergence of Policy Mirror Descent Beyond Compatible Function Approximation.

Uri Sherman, Tomer Koren, Yishay Mansour

CoRR, February, 2025

The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization.

Matan Schliserman, Uri Sherman, Tomer Koren

Proceedings of the International Conference on Algorithmic Learning Theory, 2025

2024

Rate-Optimal Policy Optimization for Linear Markov Decision Processes.

Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation.

Uri Sherman, Tomer Koren, Yishay Mansour

Proceedings of the International Conference on Machine Learning, 2023

Regret Minimization and Convergence to Equilibria in General-sum Markov Games.

Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour

Proceedings of the International Conference on Machine Learning, 2023

2022

Benign Underfitting of Stochastic Gradient Descent.

Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Optimal Rates for Random Order Online Optimization.

Uri Sherman, Tomer Koren, Yishay Mansour

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Lazy OCO: Online Convex Optimization on a Switching Budget.

Uri Sherman, Tomer Koren

Proceedings of the Conference on Learning Theory, 2021