Optimal variance-reduced stochastic approximation in Banach spaces

21 January 2022

Papers citing "Optimal variance-reduced stochastic approximation in Banach spaces"

8 / 8 papers shown

Title
Limit Theorems for Stochastic Gradient Descent with Infinite Variance Jose H. Blanchet Aleksandar Mijatović Wenhao Yang 31 0 0 21 Oct 2024
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize Tong Zhang Chris Junchi Li 38 0 0 15 Jul 2024
Stochastic Halpern iteration in normed spaces and applications to reinforcement learning Mario Bravo Juan Pablo Contreras 45 3 0 19 Mar 2024
Concentration of Contractive Stochastic Approximation: Additive and Multiplicative Noise Zaiwei Chen S. T. Maguluri Martin Zubeldia 24 6 0 28 Mar 2023
Variance-aware robust reinforcement learning with linear function approximation under heavy-tailed rewards Xiang Li Qiang Sun 26 8 0 09 Mar 2023
Stabilizing Q-learning with Linear Architectures for Provably Efficient Learning Andrea Zanette Martin J. Wainwright OOD 38 5 0 01 Jun 2022
Stochastic first-order methods for average-reward Markov decision processes Tianjiao Li Feiyang Wu Guanghui Lan 22 14 0 11 May 2022
Instance-Dependent Confidence and Early Stopping for Reinforcement Learning K. Khamaru Eric Xia Martin J. Wainwright Michael I. Jordan 34 5 0 21 Jan 2022