"stochastic approximation" Papers

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A General-Purpose Theorem for High-Probability Bounds of Stochastic Approximation with Polyak Averaging

Sajad Khodadadian, Martin Zubeldia

NEURIPS 2025oralarXiv:2505.21796
2
citations

Finite-Sample Analysis of Policy Evaluation for Robust Average Reward Reinforcement Learning

Yang Xu, Washim Mondal, Vaneet Aggarwal

NEURIPS 2025arXiv:2502.16816
8
citations

REINFORCE Converges to Optimal Policies with Any Learning Rate

Samuel Robertson, Thang Chu, Bo Dai et al.

NEURIPS 2025

Statistical inference for Linear Stochastic Approximation with Markovian Noise

Sergey Samsonov, Marina Sheshukova, Eric Moulines et al.

NEURIPS 2025arXiv:2505.19102
4
citations

The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise

Shuze Daniel Liu, Shuhang Chen, Shangtong Zhang

NEURIPS 2025oralarXiv:2401.07844
13
citations

Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates

Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo

ICML 2024arXiv:2403.11687
3
citations

Online Variational Sequential Monte Carlo

Alessandro Mastrototaro, Jimmy Olsson

ICML 2024arXiv:2312.12616
4
citations