English

Global convergence of gradient descent for phase retrieval

Optimization and Control 2024-10-18 v2 Machine Learning

Abstract

We propose a tensor-based criterion for benign landscape in phase retrieval and establish boundedness of gradient trajectories. This implies that gradient descent will converge to a global minimum for almost every initial point.

Keywords

Cite

@article{arxiv.2410.09990,
  title  = {Global convergence of gradient descent for phase retrieval},
  author = {Théodore Fougereux and Cédric Josz and Xiaopeng Li},
  journal= {arXiv preprint arXiv:2410.09990},
  year   = {2024}
}