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Iterative Thresholding Algorithm for Sparse Inverse Covariance
  Estimation

Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation

12 November 2012
D. Guillot
B. Rajaratnam
B. T. Rolfs
A. Maleki
Ian Wong
ArXivPDFHTML

Papers citing "Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation"

11 / 11 papers shown
Title
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure
Can Pouliquen
Mathurin Massias
Titouan Vayer
105
0
0
13 Jun 2024
Sparse Inverse Covariance Matrix Estimation Using Quadratic
  Approximation
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation
Cho-Jui Hsieh
Mátyás A. Sustik
Inderjit S. Dhillon
Pradeep Ravikumar
52
344
0
13 Jun 2013
The Graphical Lasso: New Insights and Alternatives
The Graphical Lasso: New Insights and Alternatives
Rahul Mazumder
Trevor Hastie
76
286
0
23 Nov 2011
A note on the lack of symmetry in the graphical lasso
A note on the lack of symmetry in the graphical lasso
B. T. Rolfs
B. Rajaratnam
51
6
0
11 Nov 2011
A Flexible, Scalable and Efficient Algorithmic Framework for Primal
  Graphical Lasso
A Flexible, Scalable and Efficient Algorithmic Framework for Primal Graphical Lasso
Rahul Mazumder
D. Agarwal
52
8
0
25 Oct 2011
Wishart distributions for decomposable covariance graph models
Wishart distributions for decomposable covariance graph models
Kshitij Khare
B. Rajaratnam
99
70
0
09 Mar 2011
Large Scale Correlation Screening
Large Scale Correlation Screening
Alfred Hero
B. Rajaratnam
76
66
0
06 Feb 2011
Sparse Inverse Covariance Selection via Alternating Linearization
  Methods
Sparse Inverse Covariance Selection via Alternating Linearization Methods
K. Scheinberg
Shiqian Ma
D. Goldfarb
CML
131
199
0
30 Oct 2010
Templates for Convex Cone Problems with Applications to Sparse Signal
  Recovery
Templates for Convex Cone Problems with Applications to Sparse Signal Recovery
Stephen Becker
Emmanuel J. Candès
Michael C. Grant
82
680
0
10 Sep 2010
Adaptive First-Order Methods for General Sparse Inverse Covariance
  Selection
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
Zhaosong Lu
59
49
0
04 Apr 2009
Wishart distributions for decomposable graphs
Wishart distributions for decomposable graphs
G. Letac
H. Massam
102
149
0
17 Aug 2007
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