Adaptive Stochastic Gradient Descents on Manifolds with an Application on Weighted Low-Rank Approximation
Optimization and Control
2025-04-01 v2 Artificial Intelligence
Machine Learning
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.
Keywords
Cite
@article{arxiv.2503.11833,
title = {Adaptive Stochastic Gradient Descents on Manifolds with an Application on Weighted Low-Rank Approximation},
author = {Peiqi Yang and Conglong Xu and Hao Wu},
journal= {arXiv preprint arXiv:2503.11833},
year = {2025}
}