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Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective
29 September 2022
Yuetian Luo
Nicolas García Trillos
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Papers citing
"Nonconvex Matrix Factorization is Geodesically Convex: Global Landscape Analysis for Fixed-rank Matrix Optimization From a Riemannian Perspective"
4 / 4 papers shown
Title
Low solution rank of the matrix LASSO under RIP with consequences for rank-constrained algorithms
Andrew D. McRae
86
1
0
19 Apr 2024
Spectral Neural Networks: Approximation Theory and Optimization Landscape
Chenghui Li
Rishi Sonthalia
Nicolas García Trillos
83
1
0
01 Oct 2023
Invex Programs: First Order Algorithms and Their Convergence
Adarsh Barik
S. Sra
Jean Honorio
58
2
0
10 Jul 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space
Michael Diao
Krishnakumar Balasubramanian
Sinho Chewi
Adil Salim
BDL
68
29
0
10 Apr 2023
1