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ENTITY Nonasymptotic CLT and Error Bounds for Linear Two-Time-Scale Stochastic Approximation

Nonasymptotic CLT and Error Bounds for Linear Two-Time-Scale Stochastic Approximation

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  1. TOOL · CL_233424 ·

    New paper details nonasymptotic CLT for stochastic approximation in machine learning

    A new paper published on arXiv introduces a nonasymptotic Wasserstein-1 central limit theorem (CLT) for linear two-time-scale stochastic approximation algorithms. This research addresses the need for understanding finit…