Generalized Precision Matrix for Scalable Estimation of Nonparametric
Markov Networks

Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks

19 May 2023

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Papers citing "Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks"

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Title
Learning non-Gaussian graphical models via Hessian scores and triangular transport Ricardo Baptista Youssef Marzouk Rebecca E. Morrison O. Zahm 71 23 0 08 Jan 2021
Sliced Score Matching: A Scalable Approach to Density and Score Estimation Yang Song Sahaj Garg Jiaxin Shi Stefano Ermon 122 419 0 17 May 2019
Beyond normality: Learning sparse probabilistic graphical models in the non-Gaussian setting Rebecca E. Morrison Ricardo Baptista Youssef Marzouk CML 80 27 0 02 Nov 2017
Inference via low-dimensional couplings Alessio Spantini Daniele Bigoni Youssef Marzouk 108 119 0 17 Mar 2017
Support recovery without incoherence: A case for nonconvex regularization Po-Ling Loh Martin J. Wainwright 182 169 0 17 Dec 2014
High-dimensional learning of linear causal networks via inverse covariance estimation Po-Ling Loh Peter Buhlmann CML 120 189 0 14 Nov 2013
High-dimensional Mixed Graphical Models Jie Cheng Tianxi Li Elizaveta Levina Ji Zhu 103 78 0 09 Apr 2013
On Graphical Models via Univariate Exponential Family Distributions Eunho Yang Pradeep Ravikumar Genevera I. Allen Zhandong Liu 81 173 0 17 Jan 2013
Structure estimation for discrete graphical models: Generalized covariance matrices and their inverses Po-Ling Loh Martin J. Wainwright 88 180 0 03 Dec 2012
Interpretation and Generalization of Score Matching Siwei Lyu 116 151 0 09 May 2012
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 109 632 0 14 Feb 2012
Stable Graphical Model Estimation with Random Forests for Discrete, Continuous, and Mixed Variables Bernd Fellinghauer Peter Buhlmann Martin Ryffel M. Rhein J. Reinhardt 55 85 0 01 Sep 2011
$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 282 956 0 02 Oct 2010
Nearly unbiased variable selection under minimax concave penalty Cun-Hui Zhang 344 3,569 0 25 Feb 2010
The Nonparanormal: Semiparametric Estimation of High Dimensional Undirected Graphs Han Liu John D. Lafferty Larry A. Wasserman 151 764 0 03 Mar 2009
The Benefit of Group Sparsity Junzhou Huang Tong Zhang 233 465 0 20 Jan 2009
$High-dimensional covariance estimation by minimizing $\ell_1$-penalized log-determinant divergence$ High-dimensional covariance estimation by minimizing $\ell_1$ -penalized log-determinant divergence Pradeep Ravikumar Martin J. Wainwright Garvesh Raskutti Bin Yu 253 873 0 21 Nov 2008