Adaptive Stochastic Gradient Descents on Manifolds with an Application on Weighted Low-Rank Approximation

We prove a convergence theorem for stochastic gradient descents on manifolds with adaptive learning rate and apply it to the weighted low-rank approximation problem.

Publication Details

Journal
ArXiv.org
Published
2025-03-14
Primary Topic
Stochastic Gradient Optimization Techniques
Type
article
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article

Adaptive Stochastic Gradient Descents on Manifolds with an Application on Weighted Low-Rank Approximation

ArXiv.org
Stochastic Gradient Optimization Techniques
article

Adaptive Stochastic Gradient Descents on Manifolds with an Application on Weighted Low-Rank Approximation

article en

Abstract

We prove a convergence theorem for stochastic gradient descents on manifolds with adaptive learning rate and apply it to the weighted low-rank approximation problem.

ArXiv.org
Reduced inequalities
Openalex Percentile: Top 73%
Stochastic Gradient Optimization Techniques
Open Access PDFOpenAlex
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Adaptive Stochastic Gradient Descents on Manifolds with an Application on Weighted Low-Rank Approximation · ArXiv.org (2025) | TGRS Research Map | TGRS