conftrace_

linear stochastic approximation

9 papers

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Also known as

LSA

Co-occurring keywords · papers mentioning both

temporal difference learning (5) polyak-ruppert averaging (4) richardson-romberg extrapolation (2) constant step size (2) central limit theorem (2) confidence interval (2) matrix product (1) poisson equation (1) fixed step-size (1) multiplier bootstrap (1)

Papers

Gaussian Approximation for Two-Timescale Linear Stochastic Approximation AAAI 2026 High-Order Error Bounds for Markovian LSA with Richardson–Romberg Extrapolation AAAI 2026 Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference AAAI 2024 Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning NeurIPS 2024 Policy Evaluation for Variance in Average Reward Reinforcement Learning ICML 2024 SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning NeurIPS 2024 Tight High Probability Bounds for Linear Stochastic Approximation with Fixed Stepsize NeurIPS 2021 On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration COLT 2020 Linear Stochastic Approximation: How Far Does Constant Step-Size and Iterate Averaging Go? AISTATS 2018