A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov
Tree Structures

A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures

7 May 2009

Vincent Y. F. Tan

Anima Anandkumar

Papers citing "A Large-Deviation Analysis of the Maximum-Likelihood Learning of Markov Tree Structures"

6 / 6 papers shown

Title
On the Number of Samples Needed to Learn the Correct Structure of a Bayesian Network O. Zuk Shiri Margel E. Domany 52 49 0 27 Jun 2012
Learning Latent Tree Graphical Models M. Choi Vincent Y. F. Tan Anima Anandkumar A. Willsky 83 264 0 14 Sep 2010
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates Vincent Y. F. Tan Anima Anandkumar A. Willsky 89 49 0 05 May 2010
Learning Gaussian Tree Models: Analysis of Error Exponents and Extremal Structures Vincent Y. F. Tan Anima Anandkumar A. Willsky 71 57 0 28 Sep 2009
Universal and Composite Hypothesis Testing via Mismatched Divergence Jayakrishnan Unnikrishnan Dayu Huang Sean P. Meyn A. Surana Venugopal V. Veeravalli 47 49 0 11 Sep 2009
$High-Dimensional Graphical Model Selection Using $\ell_1$-Regularized Logistic Regression$ High-Dimensional Graphical Model Selection Using $\ell_1$ -Regularized Logistic Regression Pradeep Ravikumar Martin J. Wainwright John D. Lafferty 195 177 0 26 Apr 2008