Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization

3 August 2021

Papers citing "Nonconvex Factorization and Manifold Formulations are Almost Equivalent in Low-rank Matrix Optimization"

3 / 3 papers shown

Title
Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective Yuetian Luo Nicolas García Trillos 9 6 0 29 Sep 2022
On Geometric Connections of Embedded and Quotient Geometries in Riemannian Fixed-rank Matrix Optimization Yuetian Luo Xudong Li Xinmiao Zhang 19 5 0 23 Oct 2021
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients Weimin Miao S. Pan Defeng Sun 40 44 0 13 Oct 2012