Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks

4 July 2012

Papers citing "Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks"

50 / 57 papers shown

Title
Nonlinear Causal Discovery for Grouped Data Konstantin Göbler Tobias Windisch Mathias Drton CML 95 0 0 05 Jun 2025
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities Tao Feng Yunke Zhang Huandong Wang Yong Li 487 1 0 09 Mar 2025
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery Yingyu Lin Yuxing Huang Wenqin Liu Haoran Deng Ignavier Ng Kun Zhang Biwei Huang Yi-An Ma Zhen Zhang 110 1 0 08 Oct 2024
Recursive Causal Discovery Ehsan Mokhtarian Sepehr Elahi S. Akbari Negar Kiyavash CML 77 2 0 14 Mar 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 153 1 0 22 Feb 2024
Boosting Causal Additive Models Maximilian Kertel Nadja Klein 76 0 0 12 Jan 2024
iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models Tianyu Chen Kevin Bello Bryon Aragam Pradeep Ravikumar CML 65 3 0 30 Jun 2023
A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models Alexander G. Reisach Myriam Tami C. Seiler Antoine Chambaz S. Weichwald CML 101 21 0 31 Mar 2023
A Comprehensively Improved Hybrid Algorithm for Learning Bayesian Networks: Multiple Compound Memory Erasing Baokui Mou BDL 47 1 0 05 Dec 2022
Reinforcement Causal Structure Learning on Order Graph Dezhi Yang Guoxian Yu Jun Wang Zhe Wu Maozu Guo BDL CML 100 16 0 22 Nov 2022
On the Sparse DAG Structure Learning Based on Adaptive Lasso Danru Xu Erdun Gao Wei Huang Menghan Wang Andy Song Biwei Huang CML 83 4 0 07 Sep 2022
Novel Ordering-based Approaches for Causal Structure Learning in the Presence of Unobserved Variables Ehsan Mokhtarian M. Khorasani Jalal Etesami Negar Kiyavash CML 75 7 0 14 Aug 2022
Greedy Relaxations of the Sparsest Permutation Algorithm Wai-yin Lam Bryan Andrews Joseph Ramsey 82 48 0 11 Jun 2022
Score matching enables causal discovery of nonlinear additive noise models Paul Rolland Volkan Cevher Matthäus Kleindessner Chris Russel Bernhard Schölkopf Dominik Janzing Francesco Locatello CML 99 90 0 08 Mar 2022
Parallel Sampling for Efficient High-dimensional Bayesian Network Structure Learning Zhi-gao Guo Anthony C. Constantinou TPM 49 0 0 19 Feb 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 95 72 0 06 Dec 2021
Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families Goutham Rajendran Bohdan Kivva Ming Gao Bryon Aragam 72 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 106 198 0 23 Sep 2021
Learning Bayesian Networks through Birkhoff Polytope: A Relaxation Method Aramayis Dallakyan Mohsen Pourahmadi CML 41 2 0 04 Jul 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach Yue Yu Tian Gao Naiyu Yin Q. Ji CML 78 60 0 14 Jun 2021
Ordering-Based Causal Discovery with Reinforcement Learning Xiaoqiang Wang Yali Du Shengyu Zhu Liangjun Ke Zhitang Chen Jianye Hao Jun Wang CML 84 64 0 14 May 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery M. Vowels Necati Cihan Camgöz Richard Bowden CML 147 305 0 03 Mar 2021
On Resource-Efficient Bayesian Network Classifiers and Deep Neural Networks Wolfgang Roth Günther Schindler Holger Fröning Franz Pernkopf BDL MQ 18 0 0 22 Oct 2020
A Recursive Markov Boundary-Based Approach to Causal Structure Learning Ehsan Mokhtarian S. Akbari AmirEmad Ghassami Negar Kiyavash CML 46 17 0 10 Oct 2020
Learning All Credible Bayesian Network Structures for Model Averaging Zhenyu A. Liao Charupriya Sharma James Cussens P. V. Beek BDL 93 0 0 27 Aug 2020
Differentiable TAN Structure Learning for Bayesian Network Classifiers Wolfgang Roth Franz Pernkopf BDL 24 2 0 21 Aug 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs Ignavier Ng AmirEmad Ghassami Kun Zhang CML 89 189 0 17 Jun 2020
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets Zhi-gao Guo Anthony C. Constantinou 50 7 0 08 Jun 2020
Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs AmirEmad Ghassami Alan Yang Negar Kiyavash Kun Zhang 81 2 0 28 Oct 2019
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 149 117 0 18 Oct 2019
On Pruning for Score-Based Bayesian Network Structure Learning Alvaro H. C. Correia James Cussens Cassio de Campos 80 14 0 23 May 2019
Optimizing regularized Cholesky score for order-based learning of Bayesian networks Qiaoling Ye Arash A. Amini Qing Zhou BDL CML 64 30 0 28 Apr 2019
Size of Interventional Markov Equivalence Classes in Random DAG Models Dmitriy A. Katz Karthikeyan Shanmugam C. Squires Caroline Uhler CML 55 9 0 05 Mar 2019
Efficient Sampling and Structure Learning of Bayesian Networks Jack Kuipers Polina Suter G. Moffa TPM CML 65 69 0 21 Mar 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 109 952 0 04 Mar 2018
Efficient Learning of Optimal Markov Network Topology with k-Tree Modeling Liang Ding D. Chang R. Malmberg Aaron Martínez David Robinson Matthew Wicker Hongfei Yan Liming Cai 62 25 0 21 Jan 2018
Entropy-based Pruning for Learning Bayesian Networks using BIC Cassio P. De Campos Mauro Scanagatta Giorgio Corani Marco Zaffalon 65 35 0 19 Jul 2017
Efficient computational strategies to learn the structure of probabilistic graphical models of cumulative phenomena Daniele Ramazzotti Marco S. Nobile M. Antoniotti Alex Graudenzi CML 32 4 0 08 Mar 2017
Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms Liam Solus Yuhao Wang Caroline Uhler CML 139 79 0 12 Feb 2017
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks Jessa Bekker A. Hommersom M. Lappenschaar Jesse Davis 13 1 0 09 Dec 2016
Generalized Permutohedra from Probabilistic Graphical Models F. Mohammadi Caroline Uhler Charles Wang Josephine Yu 139 22 0 06 Jun 2016
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 99 42 0 29 Nov 2015
Anchored Discrete Factor Analysis Yoni Halpern Steven Horng David Sontag CML 57 17 0 10 Nov 2015
Sandwiching the marginal likelihood using bidirectional Monte Carlo Roger C. Grosse Zoubin Ghahramani Ryan P. Adams 91 62 0 08 Nov 2015
Advances in Learning Bayesian Networks of Bounded Treewidth S. Nie Denis Deratani Mauá Cassio Polpo de Campos Q. Ji TPM 186 35 0 05 Jun 2014
Stable Graphical Models Navodit Misra E. Kuruoglu 40 10 0 16 Apr 2014
Parameterized Complexity Results for Exact Bayesian Network Structure Learning S. Ordyniak Stefan Szeider 146 65 0 04 Feb 2014
mARC: Memory by Association and Reinforcement of Contexts Norbert Rimoux P. Descourt OffRL 60 0 0 10 Dec 2013
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 160 326 0 06 Oct 2013
Evaluating Anytime Algorithms for Learning Optimal Bayesian Networks Brandon M. Malone Changhe Yuan TPM 75 26 0 26 Sep 2013