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Structured Variable Selection with Sparsity-Inducing Norms

Structured Variable Selection with Sparsity-Inducing Norms

22 April 2009
Rodolphe Jenatton
Jean-Yves Audibert
Francis R. Bach
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Papers citing "Structured Variable Selection with Sparsity-Inducing Norms"

45 / 145 papers shown
Title
Convex Relaxation for Combinatorial Penalties
Convex Relaxation for Combinatorial Penalties
G. Obozinski
Francis R. Bach
59
62
0
06 May 2012
Weakly decomposable regularization penalties and structured sparsity
Weakly decomposable regularization penalties and structured sparsity
Sara van de Geer
80
63
0
21 Apr 2012
Supervised Feature Selection in Graphs with Path Coding Penalties and
  Network Flows
Supervised Feature Selection in Graphs with Path Coding Penalties and Network Flows
Julien Mairal
Bin Yu
53
44
0
20 Apr 2012
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Sparse Subspace Clustering: Algorithm, Theory, and Applications
Ehsan Elhamifar
René Vidal
34
2,324
0
05 Mar 2012
Smoothing Proximal Gradient Method for General Structured Sparse
  Learning
Smoothing Proximal Gradient Method for General Structured Sparse Learning
Xinyu Chen
Qihang Lin
Seyoung Kim
J. Carbonell
Eric P. Xing
49
95
0
14 Feb 2012
Learning with Submodular Functions: A Convex Optimization Perspective
Learning with Submodular Functions: A Convex Optimization Perspective
Francis R. Bach
50
476
0
28 Nov 2011
Learning Hierarchical and Topographic Dictionaries with Structured
  Sparsity
Learning Hierarchical and Topographic Dictionaries with Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
36
18
0
20 Oct 2011
Group Lasso with Overlaps: the Latent Group Lasso approach
Group Lasso with Overlaps: the Latent Group Lasso approach
G. Obozinski
Laurent Jacob
Jean-Philippe Vert
85
181
0
03 Oct 2011
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
74
323
0
12 Sep 2011
Learning Nonlinear Functions Using Regularized Greedy Forest
Learning Nonlinear Functions Using Regularized Greedy Forest
Rie Johnson
Tong Zhang
58
157
0
05 Sep 2011
Structured Sparsity and Generalization
Structured Sparsity and Generalization
Andreas Maurer
Massimiliano Pontil
75
63
0
17 Aug 2011
Optimization with Sparsity-Inducing Penalties
Optimization with Sparsity-Inducing Penalties
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
87
1,057
0
03 Aug 2011
A General Framework for Structured Sparsity via Proximal Optimization
A General Framework for Structured Sparsity via Proximal Optimization
Andreas Argyriou
Luca Baldassarre
Jean Morales
Massimiliano Pontil
41
21
0
26 Jun 2011
Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals
Tight Measurement Bounds for Exact Recovery of Structured Sparse Signals
Nikhil S. Rao
Benjamin Recht
Robert D. Nowak
50
23
0
22 Jun 2011
Tight conditions for consistency of variable selection in the context of
  high dimensionality
Tight conditions for consistency of variable selection in the context of high dimensionality
L. Comminges
A. Dalalyan
53
66
0
21 Jun 2011
Structured Sparsity via Alternating Direction Methods
Structured Sparsity via Alternating Direction Methods
Zhiwei Qin
D. Goldfarb
46
77
0
04 May 2011
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Rodolphe Jenatton
Alexandre Gramfort
V. Michel
G. Obozinski
Evelyn Eger
Francis R. Bach
B. Thirion
64
127
0
02 May 2011
Learning Undirected Graphical Models with Structure Penalty
Learning Undirected Graphical Models with Structure Penalty
Shilin Ding
CML
44
1
0
27 Apr 2011
Convex Approaches to Model Wavelet Sparsity Patterns
Convex Approaches to Model Wavelet Sparsity Patterns
Nikhil S. Rao
Robert D. Nowak
Stephen J. Wright
N. Kingsbury
26
69
0
22 Apr 2011
Convex and Network Flow Optimization for Structured Sparsity
Convex and Network Flow Optimization for Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
57
108
0
11 Apr 2011
Efficient First Order Methods for Linear Composite Regularizers
Efficient First Order Methods for Linear Composite Regularizers
Andreas Argyriou
C. Micchelli
Massimiliano Pontil
Lixin Shen
Yuesheng Xu
38
48
0
07 Apr 2011
OMP-type Algorithm with Structured Sparsity Patterns for Multipath Radar
  Signals
OMP-type Algorithm with Structured Sparsity Patterns for Multipath Radar Signals
Tabea Rebafka
Céline Lévy-Leduc
M. Charbit
49
2
0
26 Mar 2011
Theoretical Properties of the Overlapping Groups Lasso
Theoretical Properties of the Overlapping Groups Lasso
Daniel Percival
63
39
0
23 Mar 2011
Tight conditions for consistent variable selection in high dimensional
  nonparametric regression
Tight conditions for consistent variable selection in high dimensional nonparametric regression
L. Comminges
A. Dalalyan
70
15
0
17 Feb 2011
A convex model for non-negative matrix factorization and dimensionality
  reduction on physical space
A convex model for non-negative matrix factorization and dimensionality reduction on physical space
E. Esser
Michael Möller
Stanley Osher
Guillermo Sapiro
Jack Xin
48
168
0
04 Feb 2011
Recursive $\ell_{1,\infty}$ Group lasso
Recursive ℓ1,∞\ell_{1,\infty}ℓ1,∞​ Group lasso
Yilun Chen
Alfred Hero
49
21
0
29 Jan 2011
Shaping Level Sets with Submodular Functions
Shaping Level Sets with Submodular Functions
Francis R. Bach
72
25
0
07 Dec 2010
PAC-Bayesian aggregation and multi-armed bandits
PAC-Bayesian aggregation and multi-armed bandits
Jean-Yves Audibert
104
21
0
15 Nov 2010
Regularization Strategies and Empirical Bayesian Learning for MKL
Regularization Strategies and Empirical Bayesian Learning for MKL
Ryota Tomioka
Taiji Suzuki
51
15
0
13 Nov 2010
Collaborative Sources Identification in Mixed Signals via Hierarchical
  Sparse Modeling
Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling
Pablo Sprechmann
Ignacio Francisco Ramírez Paulino
Pablo Cancela
Guillermo Sapiro
43
10
0
23 Oct 2010
Online Multiple Kernel Learning for Structured Prediction
Online Multiple Kernel Learning for Structured Prediction
Andre F. T. Martins
Mário A. T. Figueiredo
P. Aguiar
Noah A. Smith
Eric P. Xing
49
18
0
13 Oct 2010
Regularizers for Structured Sparsity
Regularizers for Structured Sparsity
C. Micchelli
Jean Morales
Massimiliano Pontil
76
80
0
04 Oct 2010
Proximal Methods for Hierarchical Sparse Coding
Proximal Methods for Hierarchical Sparse Coding
Rodolphe Jenatton
Julien Mairal
G. Obozinski
Francis R. Bach
57
344
0
11 Sep 2010
Fast Overlapping Group Lasso
Fast Overlapping Group Lasso
Jun Liu
Jieping Ye
69
40
0
02 Sep 2010
Network Flow Algorithms for Structured Sparsity
Network Flow Algorithms for Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
42
172
0
31 Aug 2010
A Smoothing Stochastic Gradient Method for Composite Optimization
A Smoothing Stochastic Gradient Method for Composite Optimization
Qihang Lin
Xi Chen
Javier F. Pena
39
16
0
31 Aug 2010
Structured sparsity-inducing norms through submodular functions
Structured sparsity-inducing norms through submodular functions
Francis R. Bach
61
194
0
25 Aug 2010
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian
  Mixture Models to Structured Sparsity
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity
Guoshen Yu
Guillermo Sapiro
S. Mallat
64
607
0
15 Jun 2010
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
Pablo Sprechmann
Ignacio Francisco Ramírez Paulino
Guillermo Sapiro
Yonina C. Eldar
74
187
0
07 Jun 2010
Smoothing proximal gradient method for general structured sparse
  regression
Smoothing proximal gradient method for general structured sparse regression
Xinyu Chen
Qihang Lin
Seyoung Kim
J. Carbonell
Eric P. Xing
45
231
0
26 May 2010
Structured Sparse Principal Component Analysis
Structured Sparse Principal Component Analysis
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
102
352
0
08 Sep 2009
Tree-guided group lasso for multi-response regression with structured
  sparsity, with an application to eQTL mapping
Tree-guided group lasso for multi-response regression with structured sparsity, with an application to eQTL mapping
Seyoung Kim
Eric P. Xing
66
475
0
08 Sep 2009
High-Dimensional Non-Linear Variable Selection through Hierarchical
  Kernel Learning
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning
Francis R. Bach
BDL
126
74
0
04 Sep 2009
Online Learning for Matrix Factorization and Sparse Coding
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal
Francis R. Bach
Jean Ponce
Guillermo Sapiro
101
2,612
0
01 Aug 2009
Learning with Structured Sparsity
Learning with Structured Sparsity
Junzhou Huang
Tong Zhang
Dimitris N. Metaxas
97
565
0
17 Mar 2009
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