On Learning Discrete Graphical Models Using Greedy Methods

16 July 2011

Papers citing "On Learning Discrete Graphical Models Using Greedy Methods"

8 / 8 papers shown

Title
Learning Polytrees S. Dasgupta TPM 116 129 0 23 Jan 2013
Maximum Likelihood Bounded Tree-Width Markov Networks Nathan Srebro TPM 111 128 0 10 Jan 2013
A Unified Framework for High-Dimensional Analysis of M-Estimators with Decomposable Regularizers S. Negahban Pradeep Ravikumar Martin J. Wainwright Bin Yu 469 1,379 0 13 Oct 2010
$High-dimensional Ising model selection using ${\ell_1}$-regularized logistic regression$ High-dimensional Ising model selection using ${\ell_1}$ -regularized logistic regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 274 957 0 02 Oct 2010
Self-concordant analysis for logistic regression Francis R. Bach 210 208 0 24 Oct 2009
High-dimensional generalized linear models and the lasso Sara van de Geer 618 756 0 04 Apr 2008
Sparse permutation invariant covariance estimation Adam J. Rothman Peter J. Bickel Elizaveta Levina Ji Zhu 570 907 0 31 Jan 2008
Reconstruction of Markov Random Fields from Samples: Some Easy Observations and Algorithms Guy Bresler Elchanan Mossel Allan Sly 96 159 0 10 Dec 2007