Information-theoretic limits of Bayesian network structure learning

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Information-theoretic limits of Bayesian network structure learning

27 January 2016

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Papers citing "Information-theoretic limits of Bayesian network structure learning"

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Title
Causal Structure Learning: a Combinatorial Perspective C. Squires Caroline Uhler CML 120 47 0 02 Jun 2022
Optimal estimation of Gaussian DAG models Ming Gao W. Tai Bryon Aragam 81 9 0 25 Jan 2022
Direct Learning with Guarantees of the Difference DAG Between Structural Equation Models Asish Ghoshal Kevin Bello Jean Honorio CML 43 8 0 28 Jun 2019
Estimation Rates for Sparse Linear Cyclic Causal Models Jan-Christian Hütter Philippe Rigollet CML 45 3 0 08 Jun 2019
Integer Programming for Learning Directed Acyclic Graphs from Continuous Data Hasan Manzour Simge Küçükyavuz Ali Shojaie CML 66 38 0 23 Apr 2019
$High-Dimensional Poisson DAG Model Learning Using $\ell_1$-Regularized Regression$ High-Dimensional Poisson DAG Model Learning Using $\ell_1$ -Regularized Regression G. Park Sion Park 62 18 0 05 Oct 2018
Learning linear structural equation models in polynomial time and sample complexity Asish Ghoshal Jean Honorio CML 99 84 0 15 Jul 2017
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal Jean Honorio CML TPM 100 55 0 03 Mar 2017