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2020 – today
- 2024
[c6]Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour:
Rate-Optimal Policy Optimization for Linear Markov Decision Processes. ICML 2024- [i7]Matan Schliserman, Uri Sherman, Tomer Koren:
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization. CoRR abs/2401.12058 (2024) - 2023
- [c5]Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour:
Regret Minimization and Convergence to Equilibria in General-sum Markov Games. ICML 2023: 9343-9373 - [c4]Uri Sherman, Tomer Koren, Yishay Mansour:
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. ICML 2023: 31117-31150 - [i6]Uri Sherman, Tomer Koren, Yishay Mansour:
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation. CoRR abs/2301.13087 (2023) - [i5]Uri Sherman, Alon Cohen, Tomer Koren, Yishay Mansour:
Rate-Optimal Policy Optimization for Linear Markov Decision Processes. CoRR abs/2308.14642 (2023) - 2022
- [c3]Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman:
Benign Underfitting of Stochastic Gradient Descent. NeurIPS 2022 - [i4]Tomer Koren, Roi Livni, Yishay Mansour, Uri Sherman:
Benign Underfitting of Stochastic Gradient Descent. CoRR abs/2202.13361 (2022) - [i3]Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour:
Regret Minimization and Convergence to Equilibria in General-sum Markov Games. CoRR abs/2207.14211 (2022) - 2021
- [c2]Uri Sherman, Tomer Koren:
Lazy OCO: Online Convex Optimization on a Switching Budget. COLT 2021: 3972-3988 - [c1]Uri Sherman, Tomer Koren, Yishay Mansour:
Optimal Rates for Random Order Online Optimization. NeurIPS 2021: 2097-2108 - [i2]Uri Sherman, Tomer Koren:
Lazy OCO: Online Convex Optimization on a Switching Budget. CoRR abs/2102.03803 (2021) - [i1]Uri Sherman, Tomer Koren, Yishay Mansour:
Optimal Rates for Random Order Online Optimization. CoRR abs/2106.15207 (2021)
Coauthor Index
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