NeurIPS 2025 "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

REINFORCE Converges to Optimal Policies with Any Learning Rate

Samuel Robertson, Thang Chu, Bo Dai et al.

NeurIPS 2025poster