Stability properties of gradient flow dynamics for the symmetric low-rank matrix factorization problem

Hesameddin Mohammadi, Mohammad Tinati, Stephen Tu +2

The symmetric low-rank matrix factorization serves as a building block in many learning tasks, including matrix recovery and training of neural networks. However, despite a flurry…