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Forward - Backward Greedy Algorithms for Atomic Norm Regularization

Forward - Backward Greedy Algorithms for Atomic Norm Regularization

23 April 2014
Nikhil S. Rao
P. Shah
Stephen J. Wright
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Papers citing "Forward - Backward Greedy Algorithms for Atomic Norm Regularization"

19 / 19 papers shown
Title
Second-order Conditional Gradient Sliding
Second-order Conditional Gradient Sliding
Alejandro Carderera
Sebastian Pokutta
50
13
0
20 Feb 2020
Blended Conditional Gradients: the unconditioning of conditional gradients
Blended Conditional Gradients: the unconditioning of conditional gradients
Gábor Braun
Sebastian Pokutta
Dan Tu
S. Wright
70
27
0
18 May 2018
Forward-Backward Greedy Algorithms for General Convex Smooth Functions
  over A Cardinality Constraint
Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint
Ji Liu
R. Fujimaki
Jieping Ye
67
45
0
31 Dec 2013
Sparse Overlapping Sets Lasso for Multitask Learning and its Application
  to fMRI Analysis
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
Nikhil S. Rao
Christopher R. Cox
Robert D. Nowak
Timothy T. Rogers
95
73
0
20 Nov 2013
Solving OSCAR regularization problems by proximal splitting algorithms
Solving OSCAR regularization problems by proximal splitting algorithms
Xiangrong Zeng
Mário A. T. Figueiredo
84
6
0
24 Sep 2013
Convex relaxations of structured matrix factorizations
Convex relaxations of structured matrix factorizations
Francis R. Bach
78
38
0
12 Sep 2013
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Square Deal: Lower Bounds and Improved Relaxations for Tensor Recovery
Cun Mu
Bo Huang
John N. Wright
D. Goldfarb
151
307
0
22 Jul 2013
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
191
1,065
0
03 Dec 2012
Tensor decompositions for learning latent variable models
Tensor decompositions for learning latent variable models
Anima Anandkumar
Rong Ge
Daniel J. Hsu
Sham Kakade
Matus Telgarsky
373
1,145
0
29 Oct 2012
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien
Martin Jaggi
Mark Schmidt
Patrick A. Pletscher
126
366
0
19 Jul 2012
High-dimensional Sparse Inverse Covariance Estimation using Greedy
  Methods
High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods
Christopher C. Johnson
A. Jalali
Pradeep Ravikumar
56
59
0
29 Dec 2011
Orthogonal Matching Pursuit with Replacement
Orthogonal Matching Pursuit with Replacement
Prateek Jain
Ambuj Tewari
Inderjit S. Dhillon
66
79
0
14 Jun 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
59
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
113
109
0
11 Apr 2011
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
185
1,338
0
03 Dec 2010
Proximal Methods for Hierarchical Sparse Coding
Proximal Methods for Hierarchical Sparse Coding
Rodolphe Jenatton
Julien Mairal
G. Obozinski
Francis R. Bach
206
344
0
11 Sep 2010
Matrix Completion from Noisy Entries
Matrix Completion from Noisy Entries
Raghunandan H. Keshavan
Andrea Montanari
Sewoong Oh
212
718
0
11 Jun 2009
Structured Variable Selection with Sparsity-Inducing Norms
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton
Jean-Yves Audibert
Francis R. Bach
193
607
0
22 Apr 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
366
3,764
0
28 Jun 2007
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