How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization

3 October 2023

Papers citing "How Over-Parameterization Slows Down Gradient Descent in Matrix Sensing: The Curses of Symmetry and Initialization"

6 / 6 papers shown

Title
On the Crucial Role of Initialization for Matrix Factorization Bingcong Li Liang Zhang Aryan Mokhtari Niao He 28 1 0 24 Oct 2024
Guarantees of a Preconditioned Subgradient Algorithm for Overparameterized Asymmetric Low-rank Matrix Recovery Paris Giampouras HanQin Cai René Vidal 35 3 0 22 Oct 2024
Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models Weihang Xu Maryam Fazel Simon S. Du 35 1 0 29 Jun 2024
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes Zhenfeng Tu Santiago Aranguri Arthur Jacot 31 8 0 27 May 2024
Low-Tubal-Rank Tensor Recovery via Factorized Gradient Descent Zhiyu Liu Zhi Han Yandong Tang Xi-Le Zhao Yao Wang 50 1 0 22 Jan 2024
A Validation Approach to Over-parameterized Matrix and Image Recovery Lijun Ding Zhen Qin Liwei Jiang Jinxin Zhou Zhihui Zhu 48 13 0 21 Sep 2022