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almost sure convergence

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convergence rate (4) stochastic gradient descent (4) stochastic heavy ball (2) heavy ball method (2) strongly convex function (2) convex optimization (2) reinforcement learning (2) saddle avoidance (1) non-convex objective (1) monte carlo exploring start (1)

Papers

Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary Features JMLR 2026 On the Almost Sure Convergence of the Stochastic Three Points Algorithm ICLR 2025 Almost Sure Convergence Rates Analysis and Saddle Avoidance of Stochastic Gradient Methods JMLR 2024 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 On Almost Sure Convergence Rates of Stochastic Gradient Methods COLT 2022 On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning ICLR 2022 Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball COLT 2021