High-dimensional consistency in score-based and hybrid structure learning

9 July 2015

Papers citing "High-dimensional consistency in score-based and hybrid structure learning"

20 / 20 papers shown

Title
Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions Juan L. Gamella Armeen Taeb C. Heinze-Deml Peter Buhlmann CML 106 8 0 13 Mar 2025
The huge Package for High-dimensional Undirected Graph Estimation in R T. Zhao Han Liu Kathryn Roeder John D. Lafferty Larry A. Wasserman 34 480 0 26 Jun 2020
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs Emilija Perković J. Textor M. Kalisch Marloes H. Maathuis OffRL 37 144 0 22 Jun 2016
Scaling up Greedy Causal Search for Continuous Variables Joseph Ramsey LRM 27 41 0 28 Jul 2015
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations D. M. Chickering Christopher Meek 54 28 0 06 Jun 2015
The Recovery of Causal Poly-Trees from Statistical Data George Rebane Judea Pearl CML 43 212 0 27 Mar 2013
Causal Inference and Causal Explanation with Background Knowledge Christopher Meek CML 230 630 0 20 Feb 2013
Learning Equivalence Classes of Bayesian Networks Structures D. M. Chickering 54 831 0 13 Feb 2013
Learning Bayesian Network Structure from Massive Datasets: The "Sparse Candidate" Algorithm N. Friedman I. Nachman Dana Peér 104 654 0 23 Jan 2013
Finding Optimal Bayesian Networks D. M. Chickering Christopher Meek TPM 56 152 0 12 Dec 2012
Order-independent constraint-based causal structure learning Diego Colombo Marloes H. Maathuis CML 78 597 0 14 Nov 2012
Geometry of the faithfulness assumption in causal inference Caroline Uhler Garvesh Raskutti Peter Buhlmann B. Yu 80 220 0 02 Jul 2012
$$\ell_0$-penalized maximum likelihood for sparse directed acyclic graphs$ $\ell_0$ -penalized maximum likelihood for sparse directed acyclic graphs Sara van de Geer Peter Buhlmann CML 88 83 0 24 May 2012
Kernel-based Conditional Independence Test and Application in Causal Discovery Kun Zhang J. Peters Dominik Janzing Bernhard Schölkopf BDL CML 52 618 0 14 Feb 2012
High Dimensional Semiparametric Gaussian Copula Graphical Models Han Liu Fang Han M. Yuan John D. Lafferty Larry A. Wasserman 73 407 0 10 Feb 2012
High-Dimensional Gaussian Graphical Model Selection: Walk Summability and Local Separation Criterion Anima Anandkumar Vincent Y. F. Tan A. Willsky 70 90 0 06 Jul 2011
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 50 425 0 14 Apr 2011
Extended Bayesian Information Criteria for Gaussian Graphical Models Rina Foygel Mathias Drton 52 866 0 30 Nov 2010
Learning Bayesian Networks with the bnlearn R Package M. Scutari BDL 116 1,723 0 26 Aug 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 127 874 0 21 Nov 2008