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Convex relaxations of structured matrix factorizations

Convex relaxations of structured matrix factorizations

12 September 2013
Francis R. Bach
ArXiv (abs)PDFHTML

Papers citing "Convex relaxations of structured matrix factorizations"

14 / 14 papers shown
Title
Binary Component Decomposition Part I: The Positive-Semidefinite Case
Binary Component Decomposition Part I: The Positive-Semidefinite Case
R. Kueng
J. Tropp
65
12
0
31 Jul 2019
Binary component decomposition Part II: The asymmetric case
Binary component decomposition Part II: The asymmetric case
R. Kueng
J. Tropp
190
7
0
31 Jul 2019
Model Function Based Conditional Gradient Method with Armijo-like Line
  Search
Model Function Based Conditional Gradient Method with Armijo-like Line Search
Yura Malitsky
Peter Ochs
47
4
0
23 Jan 2019
Bilinear Parameterization For Differentiable Rank-Regularization
Bilinear Parameterization For Differentiable Rank-Regularization
Marcus Valtonen Örnhag
Carl Olsson
A. Heyden
130
11
0
27 Nov 2018
Dropout as a Low-Rank Regularizer for Matrix Factorization
Dropout as a Low-Rank Regularizer for Matrix Factorization
Jacopo Cavazza
Pietro Morerio
B. Haeffele
Connor Lane
Vittorio Murino
René Vidal
115
42
0
13 Oct 2017
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms,
  and Applications
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications
B. Haeffele
René Vidal
87
67
0
25 Aug 2017
Topology and Geometry of Half-Rectified Network Optimization
Topology and Geometry of Half-Rectified Network Optimization
C. Freeman
Joan Bruna
254
235
0
04 Nov 2016
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
B. Haeffele
René Vidal
192
150
0
24 Jun 2015
Breaking the Curse of Dimensionality with Convex Neural Networks
Breaking the Curse of Dimensionality with Convex Neural Networks
Francis R. Bach
227
706
0
30 Dec 2014
Generalized Conditional Gradient for Sparse Estimation
Generalized Conditional Gradient for Sparse Estimation
Yaoliang Yu
Xinhua Zhang
Dale Schuurmans
87
78
0
17 Oct 2014
Tight convex relaxations for sparse matrix factorization
Tight convex relaxations for sparse matrix factorization
E. Richard
G. Obozinski
Jean-Philippe Vert
110
43
0
19 Jul 2014
Forward - Backward Greedy Algorithms for Atomic Norm Regularization
Forward - Backward Greedy Algorithms for Atomic Norm Regularization
Nikhil S. Rao
P. Shah
Stephen J. Wright
89
90
0
23 Apr 2014
Duality between subgradient and conditional gradient methods
Duality between subgradient and conditional gradient methods
Francis R. Bach
160
99
0
27 Nov 2012
Learning with Submodular Functions: A Convex Optimization Perspective
Learning with Submodular Functions: A Convex Optimization Perspective
Francis R. Bach
181
479
0
28 Nov 2011
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