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Learning Mixed Graphical Models
v1v2v3 (latest)

Learning Mixed Graphical Models

22 May 2012
Jason D. Lee
Trevor Hastie
ArXiv (abs)PDFHTML

Papers citing "Learning Mixed Graphical Models"

8 / 8 papers shown
Title
High-dimensional Mixed Graphical Models
High-dimensional Mixed Graphical Models
Jie Cheng
Tianxi Li
Elizaveta Levina
Ji Zhu
92
78
0
09 Apr 2013
On Graphical Models via Univariate Exponential Family Distributions
On Graphical Models via Univariate Exponential Family Distributions
Eunho Yang
Pradeep Ravikumar
Genevera I. Allen
Zhandong Liu
68
173
0
17 Jan 2013
Distributed Parameter Estimation via Pseudo-likelihood
Distributed Parameter Estimation via Pseudo-likelihood
Qiang Liu
Alexander Ihler
60
34
0
27 Jun 2012
Proximal Newton-type methods for minimizing composite functions
Proximal Newton-type methods for minimizing composite functions
Jason D. Lee
Yuekai Sun
M. Saunders
86
305
0
07 Jun 2012
Learning mixed graphical models from data with p larger than n
Learning mixed graphical models from data with p larger than n
I. Tur
R. Castelo
128
9
0
14 Feb 2012
High-dimensional Ising model selection using ${\ell_1}$-regularized
  logistic regression
High-dimensional Ising model selection using ℓ1{\ell_1}ℓ1​-regularized logistic regression
Pradeep Ravikumar
Martin J. Wainwright
John D. Lafferty
277
956
0
02 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
98
681
0
10 Sep 2010
Pathwise coordinate optimization
Pathwise coordinate optimization
J. Friedman
Trevor Hastie
Holger Hofling
Robert Tibshirani
266
2,056
0
10 Aug 2007
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