Uri Sherman

Hi! I am a Computer Science PhD student at Tel Aviv University, advised by Prof. Tomer Koren and Prof. Yishay Mansour. My primary research interests are in optimization, online learning, and reinforcement learning.

Prior to my doctoral studies I’ve spent a few good years leading data engineering and data science at Datorama, which I joined when it was an early stage startup. I obtained my B.Sc. in Mathematics from Tel Aviv University, and an M.Sc. in Computer Science from the Weizmann Institute of Science, where I worked under the supervision of Prof. Uriel Feige.

For a list of publications see below or on my google scholar profile.

Contact: urishe at gmail dot com / urisherman at mail dot tau dot ac dot il

Preprints

The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
Matan Schliserman, Uri Sherman, Tomer Koren

[Arxiv]

Rate-Optimal Policy Optimization for Linear Markov Decision Processes
Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour

[Arxiv]

Publications

Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
Uri Sherman, Tomer Koren, Yishay Mansour
ICML 2023

[Arxiv]

Regret Minimization and Convergence to Equilibria in General-sum Markov Games
Liad Erez*, Tal Lancewicki*, Uri Sherman*, Tomer Koren, Yishay Mansour
ICML 2023

[Arxiv]

Benign Underfitting of Stochastic Gradient Descent
Tomer Koren*, Roi Livni*, Yishay Mansour*, Uri Sherman*
NeurIPS 2022

[Arxiv]

Optimal Rates for Random Order Online Optimization
Uri Sherman, Tomer Koren, Yishay Mansour
NeurIPS 2021 (Oral)

[Arxiv]

Lazy OCO: Online Convex Optimization on a Switching Budget
Uri Sherman, Tomer Koren
COLT 2021

[Arxiv]

(* indicates equal contribution or alphabetical ordering)

Teaching

Introduction to Optimization for Computer Science (0368-3273), Tel Aviv University, Spring 2023 (TA)
Introduction to Optimization for Computer Science (0368-3273), Tel Aviv University, Spring 2022 (TA)