Error estimates between SGD with momentum and underdamped Langevin diffusion

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Authors: Arnaud Guillin, Yu Wang, Lihu Xu, Haoran Yang
Cited by: 0

Abstract

Stochastic gradient descent with momentum is a popular variant of stochastic gradient descent, which has recently been reported to have a close relationship with the underdamped Langevin diffusion. In this paper, we establish time-uniform error bounds between them in the 1-Wasserstein and total variation distances. Leveraging Malliavin analysis and the exponential ergodicity of the underdamped Langevin diffusion, we characterize the long-time behavior of this algorithm, even for nonconvex objective functions.

Fields of Study & Subjects

Advancements in Semiconductor Devices and Circuit Design Atomic and Subatomic Physics Research stochastic dynamics and bifurcation

Publication details

Journal / source
The Annals of Applied Probability
Volume
36
Issue
4
Pages
3295–3344
Publication date
1 August 2026
Language
EN