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A Flexible, Scalable and Efficient Algorithmic Framework for Primal
  Graphical Lasso

A Flexible, Scalable and Efficient Algorithmic Framework for Primal Graphical Lasso

25 October 2011
Rahul Mazumder
D. Agarwal
ArXivPDFHTML

Papers citing "A Flexible, Scalable and Efficient Algorithmic Framework for Primal Graphical Lasso"

5 / 5 papers shown
Title
Exact covariance thresholding into connected components for large-scale
  Graphical Lasso
Exact covariance thresholding into connected components for large-scale Graphical Lasso
Rahul Mazumder
Trevor Hastie
95
232
0
18 Aug 2011
Sparse Inverse Covariance Selection via Alternating Linearization
  Methods
Sparse Inverse Covariance Selection via Alternating Linearization Methods
K. Scheinberg
Shiqian Ma
D. Goldfarb
CML
133
199
0
30 Oct 2010
Adaptive First-Order Methods for General Sparse Inverse Covariance
  Selection
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
Zhaosong Lu
66
49
0
04 Apr 2009
Sparsistency and rates of convergence in large covariance matrix
  estimation
Sparsistency and rates of convergence in large covariance matrix estimation
Clifford Lam
Jianqing Fan
183
608
0
26 Nov 2007
Pathwise coordinate optimization
Pathwise coordinate optimization
J. Friedman
Trevor Hastie
Holger Hofling
Robert Tibshirani
217
2,052
0
10 Aug 2007
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