Uri Sherman

According to our database1, Uri Sherman authored at least 7 papers between 2021 and 2024.

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Bibliography

2024
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization.
CoRR, 2024

Rate-Optimal Policy Optimization for Linear Markov Decision Processes.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation.
Proceedings of the International Conference on Machine Learning, 2023

Regret Minimization and Convergence to Equilibria in General-sum Markov Games.
Proceedings of the International Conference on Machine Learning, 2023

2022
Benign Underfitting of Stochastic Gradient Descent.
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.
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.
Proceedings of the Conference on Learning Theory, 2021


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