Sherman, Uri

11 publications

ICML 2025 Convergence of Policy Mirror Descent Beyond Compatible Function Approximation Uri Sherman, Tomer Koren, Yishay Mansour

NeurIPS 2025 Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren

NeurIPS 2025 Optimal Rates in Continual Linear Regression via Increasing Regularization Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Daniel Soudry, Tomer Koren, Itay Evron

ALT 2025 The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization Matan Schliserman, Uri Sherman, Tomer Koren

ICML 2024 Rate-Optimal Policy Optimization for Linear Markov Decision Processes Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour

NeurIPSW 2024 The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization Matan Schliserman, Uri Sherman, Tomer Koren

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

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

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

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

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