Direct Learning with Guarantees of the Difference DAG Between Structural
Equation Models

v1v2 (latest)

Direct Learning with Guarantees of the Difference DAG Between Structural Equation Models

28 June 2019

ArXiv (abs)PDF HTML

Papers citing "Direct Learning with Guarantees of the Difference DAG Between Structural Equation Models"

8 / 8 papers shown

Title
Learning linear structural equation models in polynomial time and sample complexity Asish Ghoshal Jean Honorio CML 83 84 0 15 Jul 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal Jean Honorio CML TPM 78 55 0 03 Mar 2017
Generalized Direct Change Estimation in Ising Model Structure F. Fazayeli A. Banerjee 80 26 0 16 Jun 2016
Information-theoretic limits of Bayesian network structure learning Asish Ghoshal Jean Honorio 135 25 0 27 Jan 2016
Testing for Differences in Gaussian Graphical Models: Applications to Brain Connectivity Eugene Belilovsky Gaël Varoquaux Matthew B. Blaschko 30 64 0 29 Dec 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 122 973 0 06 Jan 2015
Support Consistency of Direct Sparse-Change Learning in Markov Networks Song Liu Taiji Suzuki Raissa Relator Jun Sese Masashi Sugiyama Kenji Fukumizu 86 24 0 02 Jul 2014
$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 249 873 0 21 Nov 2008