Uri Sherman

1. Regret Minimization and Convergence to Equilibria in General-sum Markov Games
   2022/07/28 by Liad Erez, Erez, Liad, Tal Lancewicki +7 · 4 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
2. Benign Underfitting of Stochastic Gradient Descent
   2022/02/27 by Tomer Koren, Koren, Tomer, Roi Livni +5 · 3 citations
   Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
3. Optimal Rates for Random Order Online Optimization
   2021/06/29 by Uri Sherman, Tomer Koren, Sherman, Uri +3 · 1 citation
   Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
4. The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
   2024/01/22 by Matan Schliserman, Schliserman, Matan, Uri Sherman +3 · 1 voice · 1 citation
   Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Stochastic Gradient Optimization Techniques #cs.LG #stat.ML