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Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms,
  and Applications

Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications

25 August 2017
B. Haeffele
René Vidal
ArXivPDFHTML

Papers citing "Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications"

10 / 10 papers shown
Title
Nonconvex Linear System Identification with Minimal State Representation
Nonconvex Linear System Identification with Minimal State Representation
Uday Kiran Reddy Tadipatri
B. Haeffele
Joshua Agterberg
Ingvar Ziemann
René Vidal
33
0
0
26 Apr 2025
Wave Physics-informed Matrix Factorizations
Wave Physics-informed Matrix Factorizations
Harsha Vardhan Tetali
J. Harley
B. Haeffele
29
0
0
21 Dec 2023
Optimal convex lifted sparse phase retrieval and PCA with an atomic
  matrix norm regularizer
Optimal convex lifted sparse phase retrieval and PCA with an atomic matrix norm regularizer
Andrew D. McRae
J. Romberg
Mark A. Davenport
25
8
0
08 Nov 2021
Structured Graph Learning for Scalable Subspace Clustering: From
  Single-view to Multi-view
Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view
Zhao Kang
Zhiping Lin
Xiaofeng Zhu
Wenbo Xu
74
228
0
16 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
127
165
0
29 Jan 2021
A Survey on Concept Factorization: From Shallow to Deep Representation
  Learning
A Survey on Concept Factorization: From Shallow to Deep Representation Learning
Zhao Zhang
Yan Zhang
Mingliang Xu
Li Zhang
Yi Yang
Shuicheng Yan
24
30
0
31 Jul 2020
Beyond Alternating Updates for Matrix Factorization with Inertial
  Bregman Proximal Gradient Algorithms
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
Mahesh Chandra Mukkamala
Peter Ochs
19
21
0
22 May 2019
Global Optimality in Separable Dictionary Learning with Applications to
  the Analysis of Diffusion MRI
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI
Evan Schwab
B. Haeffele
René Vidal
N. Charon
OOD
MedIm
19
2
0
15 Jul 2018
On the Implicit Bias of Dropout
On the Implicit Bias of Dropout
Poorya Mianjy
R. Arora
René Vidal
22
66
0
26 Jun 2018
Convex Sparse Matrix Factorizations
Convex Sparse Matrix Factorizations
Francis R. Bach
Julien Mairal
Jean Ponce
137
143
0
10 Dec 2008
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