Uri Sherman - RankMe

21 papers A* 7B 1Journal 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Better Rates for Random Task Orderings in Continual Linear Models. CoRR Itay Evron, Ran Levinstein, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Nathan Srebro
2025	J	`jnl`	Convergence and Sample Complexity of First-Order Methods for Agnostic Reinforcement Learning. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2025	A*	`conf`	Convergence of Policy Mirror Descent Beyond Compatible Function Approximation. ICML Uri Sherman, Tomer Koren, Yishay Mansour
2025	J	`jnl`	Convergence of Policy Mirror Descent Beyond Compatible Function Approximation. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2025	J	`jnl`	Fast Last-Iterate Convergence of SGD in the Smooth Interpolation Regime. CoRR Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren
2025	J	`jnl`	Optimal Rates in Continual Linear Regression via Increasing Regularization. CoRR Ran Levinstein, Amit Attia, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Itay Evron
2025	B	`conf`	The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization. ALT Matan Schliserman, Uri Sherman, Tomer Koren
2025	J	`jnl`	The Hidden Cost of Approximation in Online Mirror Descent. CoRR Ofir Schlisselberg, Uri Sherman, Tomer Koren, Yishay Mansour
2024	A*	`conf`	Rate-Optimal Policy Optimization for Linear Markov Decision Processes. ICML Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour
2024	J	`jnl`	The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization. CoRR Matan Schliserman, Uri Sherman, Tomer Koren
2023	A*	`conf`	Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. ICML Uri Sherman, Tomer Koren, Yishay Mansour
2023	J	`jnl`	Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. CoRR Uri Sherman, Tomer Koren, Yishay Mansour
2023	J	`jnl`	Rate-Optimal Policy Optimization for Linear Markov Decision Processes. CoRR Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour
2023	A*	`conf`	Regret Minimization and Convergence to Equilibria in General-sum Markov Games. ICML Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
2022	A*	`conf`	Benign Underfitting of Stochastic Gradient Descent. NeurIPS Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
2022	J	`jnl`	Benign Underfitting of Stochastic Gradient Descent. CoRR Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman
2022	J	`jnl`	Regret Minimization and Convergence to Equilibria in General-sum Markov Games. CoRR Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour
2021	A*	`conf`	Lazy OCO: Online Convex Optimization on a Switching Budget. COLT Uri Sherman, Tomer Koren
2021	J	`jnl`	Lazy OCO: Online Convex Optimization on a Switching Budget. CoRR Uri Sherman, Tomer Koren
2021	A*	`conf`	Optimal Rates for Random Order Online Optimization. NeurIPS Uri Sherman, Tomer Koren, Yishay Mansour
2021	J	`jnl`	Optimal Rates for Random Order Online Optimization. CoRR Uri Sherman, Tomer Koren, Yishay Mansour