Concave Penalized Estimation of Sparse Gaussian Bayesian Networks

4 January 2014

Papers citing "Concave Penalized Estimation of Sparse Gaussian Bayesian Networks"

17 / 17 papers shown

Title
Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix Yunfeng Cai Xu Li Ming Sun Ping Li CML 21 1 0 01 Nov 2023
Learning DAGs from Data with Few Root Causes Panagiotis Misiakos Chris Wendler Markus Püschel CML 37 10 0 25 May 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 25 11 0 27 Jan 2023
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 59 78 0 16 Sep 2022
Do learned representations respect causal relationships? Lan Wang Vishnu Naresh Boddeti NAI CML OOD 21 6 0 02 Apr 2022
Distributed Learning of Generalized Linear Causal Networks Qiaoling Ye Arash A. Amini Qing Zhou CML OOD AI4CE 27 16 0 23 Jan 2022
Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community M. Glenski Svitlana Volkova CML AI4CE 16 1 0 15 Oct 2021
Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks C. E. Graafland J. Gutiérrez 23 4 0 28 Jun 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 37 296 0 03 Mar 2021
Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game Alexander G. Reisach C. Seiler S. Weichwald CML 15 136 0 26 Feb 2021
A Ladder of Causal Distances Maxime Peyrard Robert West CML 16 6 0 05 May 2020
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs AmirEmad Ghassami Alan Yang Negar Kiyavash Kun Zhang 23 2 0 28 Oct 2019
Structural Agnostic Modeling: Adversarial Learning of Causal Graphs Diviyan Kalainathan Olivier Goudet Isabelle M Guyon David Lopez-Paz Michèle Sebag CML 19 93 0 13 Mar 2018
Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Asish Ghoshal Jean Honorio CML TPM 32 55 0 03 Mar 2017
Bayesian Network Learning via Topological Order Young Woong Park Diego Klabjan TPM 16 29 0 20 Jan 2017
Learning Local Dependence In Ordered Data Guo Yu Jacob Bien 14 34 0 25 Apr 2016
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 14 42 0 29 Nov 2015