Uri Sherman
9 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (11) π Cross-Pollinator (15) π Interdisciplinary Bridge π Conference Polyglot (4) π§ Keyword Pioneer
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Unstoppable
(5)
Conferences
ICML (4)
ALT (2)
NIPS (2)
COLT (1)
Top co-authors
Keywords
stochastic gradient descent
(3)
regret bound
(2)
online convex optimization
(2)
generalization bound
(2)
policy optimization
(1)
convex optimization
(1)
regret minimization
(1)
multi-agent learning
(1)
algorithmic stability
(1)
linear function approximation
(1)
mirror descent
(1)
empirical risk
(1)
online reinforcement learning
(1)
correlated equilibrium
(1)
markov game
(1)
least square
(1)
population risk
(1)
algorithm stability
(1)
swap regret
(1)
random order
(1)
Papers
From Continual Learning to SGD and Back: Better Rates for Continual Linear Models
ALT 2026
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
ALT 2025
Convergence of Policy Mirror Descent Beyond Compatible Function Approximation
ICML 2025
Rate-Optimal Policy Optimization for Linear Markov Decision Processes
ICML 2024
Regret Minimization and Convergence to Equilibria in General-sum Markov Games
ICML 2023
Improved Regret for Efficient Online Reinforcement Learning with Linear Function Approximation
ICML 2023
Benign Underfitting of Stochastic Gradient Descent
NIPS 2022
Optimal Rates for Random Order Online Optimization
NIPS 2021
Lazy OCO: Online Convex Optimization on a Switching Budget
COLT 2021