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Learning with Structured Sparsity

Learning with Structured Sparsity

17 March 2009
Junzhou Huang
Tong Zhang
Dimitris N. Metaxas
ArXivPDFHTML

Papers citing "Learning with Structured Sparsity"

29 / 129 papers shown
Title
Extension of SBL Algorithms for the Recovery of Block Sparse Signals
  with Intra-Block Correlation
Extension of SBL Algorithms for the Recovery of Block Sparse Signals with Intra-Block Correlation
Zhilin Zhang
Bhaskar D. Rao
37
497
0
04 Jan 2012
Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned
  Dictionaries
Efficient Adaptive Compressive Sensing Using Sparse Hierarchical Learned Dictionaries
Akshay Soni
Jarvis Haupt
40
23
0
29 Nov 2011
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
39
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
94
181
0
03 Oct 2011
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
82
323
0
12 Sep 2011
Learning Nonlinear Functions Using Regularized Greedy Forest
Learning Nonlinear Functions Using Regularized Greedy Forest
Rie Johnson
Tong Zhang
63
157
0
05 Sep 2011
ShareBoost: Efficient Multiclass Learning with Feature Sharing
ShareBoost: Efficient Multiclass Learning with Feature Sharing
Shai Shalev-Shwartz
Y. Wexler
Amnon Shashua
49
16
0
05 Sep 2011
Structured Sparsity and Generalization
Structured Sparsity and Generalization
Andreas Maurer
Massimiliano Pontil
83
63
0
17 Aug 2011
Optimization with Sparsity-Inducing Penalties
Optimization with Sparsity-Inducing Penalties
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
90
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
44
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
58
23
0
22 Jun 2011
Structured Sparsity via Alternating Direction Methods
Structured Sparsity via Alternating Direction Methods
Zhiwei Qin
D. Goldfarb
48
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
69
127
0
02 May 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
31
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
62
109
0
11 Apr 2011
Theoretical Properties of the Overlapping Groups Lasso
Theoretical Properties of the Overlapping Groups Lasso
Daniel Percival
71
39
0
23 Mar 2011
Regularization Strategies and Empirical Bayesian Learning for MKL
Regularization Strategies and Empirical Bayesian Learning for MKL
Ryota Tomioka
Taiji Suzuki
59
15
0
13 Nov 2010
Regularizers for Structured Sparsity
Regularizers for Structured Sparsity
C. Micchelli
Jean Morales
Massimiliano Pontil
84
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
74
344
0
11 Sep 2010
Network Flow Algorithms for Structured Sparsity
Network Flow Algorithms for Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
57
173
0
31 Aug 2010
Structured sparsity-inducing norms through submodular functions
Structured sparsity-inducing norms through submodular functions
Francis R. Bach
67
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
72
608
0
15 Jun 2010
Learning Out of Leaders
Learning Out of Leaders
Mathilde Mougeot
D. Picard
K. Tribouley
84
20
0
12 Jan 2010
Structured Sparse Principal Component Analysis
Structured Sparse Principal Component Analysis
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
107
352
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
Structured Variable Selection with Sparsity-Inducing Norms
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton
Jean-Yves Audibert
Francis R. Bach
96
605
0
22 Apr 2009
Taking Advantage of Sparsity in Multi-Task Learning
Taking Advantage of Sparsity in Multi-Task Learning
Karim Lounici
Massimiliano Pontil
Alexandre B. Tsybakov
Sara van de Geer
185
292
0
09 Mar 2009
Multi-Label Prediction via Compressed Sensing
Multi-Label Prediction via Compressed Sensing
Daniel J. Hsu
Sham Kakade
John Langford
Tong Zhang
53
442
0
08 Feb 2009
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