Stability of Low-Rank Implicit Regularization in Perturbed Deep Matrix Factorization

Jingzhe Wang, Hung-Hsu Chou

This paper studies the stability of low-rank implicit regularization in deep matrix factorization, a tractable model for understanding how gradient-based training can favor low-com…