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The Convex Geometry of Linear Inverse Problems

The Convex Geometry of Linear Inverse Problems

3 December 2010
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
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Papers citing "The Convex Geometry of Linear Inverse Problems"

18 / 118 papers shown
Title
Estimation in high dimensions: a geometric perspective
Estimation in high dimensions: a geometric perspective
Roman Vershynin
33
132
0
20 May 2014
Randomized Sketches of Convex Programs with Sharp Guarantees
Randomized Sketches of Convex Programs with Sharp Guarantees
Mert Pilanci
Martin J. Wainwright
45
175
0
29 Apr 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
33
90
0
23 Apr 2014
Geometric Inference for General High-Dimensional Linear Inverse Problems
Geometric Inference for General High-Dimensional Linear Inverse Problems
T. Tony Cai
Tengyuan Liang
Alexander Rakhlin
54
27
0
17 Apr 2014
Lower bounds on the performance of polynomial-time algorithms for sparse
  linear regression
Lower bounds on the performance of polynomial-time algorithms for sparse linear regression
Yuchen Zhang
Martin J. Wainwright
Michael I. Jordan
29
130
0
09 Feb 2014
A new perspective on least squares under convex constraint
A new perspective on least squares under convex constraint
S. Chatterjee
53
114
0
04 Feb 2014
Distance-based and continuum Fano inequalities with applications to
  statistical estimation
Distance-based and continuum Fano inequalities with applications to statistical estimation
John C. Duchi
Martin J. Wainwright
43
66
0
12 Nov 2013
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
Convex relaxations of structured matrix factorizations
Convex relaxations of structured matrix factorizations
Francis R. Bach
49
38
0
12 Sep 2013
Model Selection with Low Complexity Priors
Model Selection with Low Complexity Priors
Samuel Vaiter
Mohammad Golbabaee
Jalal Fadili
Gabriel Peyré
51
59
0
09 Jul 2013
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Ryota Tomioka
Taiji Suzuki
33
152
0
26 Mar 2013
Rank regularization and Bayesian inference for tensor completion and
  extrapolation
Rank regularization and Bayesian inference for tensor completion and extrapolation
J. Bazerque
Gonzalo Mateos
G. Giannakis
41
86
0
31 Jan 2013
Learning Model-Based Sparsity via Projected Gradient Descent
Learning Model-Based Sparsity via Projected Gradient Descent
S. Bahmani
P. Boufounos
Bhiksha Raj
39
18
0
07 Sep 2012
Greedy expansions in convex optimization
Greedy expansions in convex optimization
V. Temlyakov
52
17
0
02 Jun 2012
Greedy approximation in convex optimization
Greedy approximation in convex optimization
V. Temlyakov
43
49
0
02 Jun 2012
Convex Relaxation for Combinatorial Penalties
Convex Relaxation for Combinatorial Penalties
G. Obozinski
Francis R. Bach
59
62
0
06 May 2012
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-inducing norms through submodular functions
Structured sparsity-inducing norms through submodular functions
Francis R. Bach
67
194
0
25 Aug 2010
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