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Estimation of Simultaneously Sparse and Low Rank Matrices

Estimation of Simultaneously Sparse and Low Rank Matrices

27 June 2012
E. Richard
Pierre-André Savalle
Nicolas Vayatis
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Papers citing "Estimation of Simultaneously Sparse and Low Rank Matrices"

17 / 17 papers shown
Title
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
23
0
0
23 Jun 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
25
5
0
08 Feb 2022
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition
Hongyuan Zhan
Kamesh Madduri
V. Shankar
12
0
0
22 Aug 2021
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained
  Optimization
Zeroth and First Order Stochastic Frank-Wolfe Algorithms for Constrained Optimization
Zeeshan Akhtar
K. Rajawat
39
6
0
14 Jul 2021
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
C. Connell
Yangkun Wang
14
0
0
12 Mar 2021
Factorization Machines with Regularization for Sparse Feature
  Interactions
Factorization Machines with Regularization for Sparse Feature Interactions
Kyohei Atarashi
S. Oyama
M. Kurihara
19
5
0
19 Oct 2020
Equivalent Lipschitz surrogates for zero-norm and rank optimization
  problems
Equivalent Lipschitz surrogates for zero-norm and rank optimization problems
Yulan Liu
Shujun Bi
S. Pan
35
29
0
30 Apr 2018
Compression-aware Training of Deep Networks
Compression-aware Training of Deep Networks
J. Álvarez
Mathieu Salzmann
21
172
0
07 Nov 2017
Generalized Linear Model Regression under Distance-to-set Penalties
Generalized Linear Model Regression under Distance-to-set Penalties
Jason Xu
Eric C. Chi
K. Lange
33
36
0
03 Nov 2017
A successive difference-of-convex approximation method for a class of
  nonconvex nonsmooth optimization problems
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems
Tianxiang Liu
Ting Kei Pong
Akiko Takeda
29
44
0
16 Oct 2017
Recovery of Sparse and Low Rank Components of Matrices Using Iterative
  Method with Adaptive Thresholding
Recovery of Sparse and Low Rank Components of Matrices Using Iterative Method with Adaptive Thresholding
Nematollah Zarmehi
F. Marvasti
38
1
0
09 Mar 2017
Influential Node Detection in Implicit Social Networks using Multi-task
  Gaussian Copula Models
Influential Node Detection in Implicit Social Networks using Multi-task Gaussian Copula Models
Qunwei Li
B. Kailkhura
Jayaraman J. Thiagarajan
Zhenliang Zhang
P. Varshney
23
12
0
30 Nov 2016
Enhanced Low-Rank Matrix Approximation
Enhanced Low-Rank Matrix Approximation
Ankit Parekh
I. Selesnick
37
85
0
06 Nov 2015
Theoretical and Experimental Analyses of Tensor-Based Regression and
  Classification
Theoretical and Experimental Analyses of Tensor-Based Regression and Classification
Kishan Wimalawarne
Ryota Tomioka
Masashi Sugiyama
31
35
0
06 Sep 2015
Simultaneously sparse and low-rank abundance matrix estimation for
  hyperspectral image unmixing
Simultaneously sparse and low-rank abundance matrix estimation for hyperspectral image unmixing
Paris V. Giampouras
K. Themelis
A. Rontogiannis
K. Koutroumbas
100
119
0
07 Apr 2015
Tight convex relaxations for sparse matrix factorization
Tight convex relaxations for sparse matrix factorization
E. Richard
G. Obozinski
Jean-Philippe Vert
61
43
0
19 Jul 2014
The Squared-Error of Generalized LASSO: A Precise Analysis
The Squared-Error of Generalized LASSO: A Precise Analysis
Samet Oymak
Christos Thrampoulidis
B. Hassibi
39
131
0
04 Nov 2013
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