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most citedStability and convergence analysis of AdaGrad for non-convex optimization via novel stopping time-based techniques

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stat.ML2025

Quantitative Error Bounds for Scaling Limits of Stochastic Iterative Algorithms

Xiaoyu Wang, Mikolaj J. Kasprzak, Jeffrey Negrea +2

Stochastic iterative algorithms, including stochastic gradient descent (SGD) and stochastic gradient Langevin dynamics (SGLD), are widely utilized for optimization and sampling in…