A simple approach for finding the globally optimal Bayesian network structure

27 June 2012

Papers citing "A simple approach for finding the globally optimal Bayesian network structure"

27 / 27 papers shown

Title
Integer Programming for Learning Directed Acyclic Graphs from Non-identifiable Gaussian Models Tong Xu Armeen Taeb Simge Kuccukyavuz Ali Shojaie CML 33 1 0 19 Apr 2024
Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach Masayuki Takayama Tadahisa Okuda Thong Pham T. Ikenoue Shingo Fukuma Shohei Shimizu Akiyoshi Sannai 73 16 0 02 Feb 2024
Testing Sparsity Assumptions in Bayesian Networks Luke Duttweiler Sally W. Thurston A. Almudevar 16 0 0 12 Jul 2023
Truncated Matrix Power Iteration for Differentiable DAG Learning Zhen Zhang Ignavier Ng Dong Gong Yuhang Liu Ehsan Abbasnejad Mingming Gong Kun Zhang Javen Qinfeng Shi 17 25 0 30 Aug 2022
The tropical geometry of causal inference for extremes N. Tran CML 9 4 0 20 Jul 2022
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families Goutham Rajendran Bohdan Kivva Ming Gao Bryon Aragam 19 17 0 10 Oct 2021
A survey of Bayesian Network structure learning N. K. Kitson Anthony C. Constantinou Zhi-gao Guo Yang Liu Kiattikun Chobtham CML 18 181 0 23 Sep 2021
Improved Acyclicity Reasoning for Bayesian Network Structure Learning with Constraint Programming Fulya Trösser S. D. Givry G. Katsirelos 11 10 0 23 Jun 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach Yue Yu Tian Gao Naiyu Yin Q. Ji CML 17 59 0 14 Jun 2021
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets Zhi-gao Guo Anthony C. Constantinou 12 7 0 08 Jun 2020
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 6 476 0 22 Apr 2019
Efficient Sampling and Structure Learning of Bayesian Networks Jack Kuipers Polina Suter G. Moffa TPM CML 13 69 0 21 Mar 2018
Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets, and Complexity James Cussens Matti Järvisalo Janne H. Korhonen M. Bartlett 29 55 0 13 May 2016
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 8 42 0 29 Nov 2015
A hybrid algorithm for Bayesian network structure learning with application to multi-label learning Maxime Gasse A. Aussem H. Elghazel 19 88 0 18 Jun 2015
Selective Greedy Equivalence Search: Finding Optimal Bayesian Networks Using a Polynomial Number of Score Evaluations D. M. Chickering Christopher Meek 33 27 0 06 Jun 2015
Advances in Bayesian Network Learning using Integer Programming M. Bartlett James Cussens 40 101 0 26 Sep 2013
A Transformational Characterization of Equivalent Bayesian Network Structures D. M. Chickering 151 416 0 20 Feb 2013
Bayesian structure learning using dynamic programming and MCMC Daniel Eaton Kevin P. Murphy 33 136 0 20 Jun 2012
Modeling Discrete Interventional Data using Directed Cyclic Graphical Models Mark W. Schmidt Kevin P. Murphy 82 41 0 09 May 2012
Exact Structure Discovery in Bayesian Networks with Less Space P. Parviainen Mikko Koivisto 41 69 0 09 May 2012
Bayesian Discovery of Linear Acyclic Causal Models P. Hoyer Antti Hyttinen 48 32 0 09 May 2012
Learning networks determined by the ratio of prior and data M. Ueno 37 42 0 15 Mar 2012
Bayesian Model Averaging Using the k-best Bayesian Network Structures Jin Tian Ru He Lavanya Ram BDL CML 35 43 0 15 Mar 2012
Robust learning Bayesian networks for prior belief M. Ueno 44 29 0 14 Feb 2012
Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search Brandon M. Malone Changhe Yuan E. Hansen S. Bridges 42 42 0 14 Feb 2012
Characterization and Greedy Learning of Interventional Markov Equivalence Classes of Directed Acyclic Graphs Alain Hauser Peter Buhlmann CML 43 420 0 14 Apr 2011