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"

28 / 28 papers shown

Title
Causality Enhanced Origin-Destination Flow Prediction in Data-Scarce Cities Tao Feng Yunke Zhang Huandong Wang Yong Li 150 0 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 Mingming Gong Yi-An Ma Biwei Huang 33 1 0 08 Oct 2024
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders Christian Toth Christian Knoll Franz Pernkopf Robert Peharz CML 43 1 0 22 Feb 2024
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
Order-based Structure Learning with Normalizing Flows Hamidreza Kamkari Vahid Balazadeh Meresht Vahid Zehtab Rahul G. Krishnan CML 29 1 0 14 Aug 2023
Open problems in causal structure learning: A case study of COVID-19 in the UK Anthony C. Constantinou N. K. Kitson Yang Liu Kiattikun Chobtham Arian Hashemzadeh Praharsh Nanavati R. Mbuvha Bruno Petrungaro CML 29 9 0 05 May 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 36 19 0 31 Mar 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 27 11 0 27 Jan 2023
A Comprehensively Improved Hybrid Algorithm for Learning Bayesian Networks: Multiple Compound Memory Erasing Baokui Mou BDL 22 1 0 05 Dec 2022
Greedy Relaxations of the Sparsest Permutation Algorithm Wai-yin Lam Bryan Andrews Joseph Ramsey 25 43 0 11 Jun 2022
BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery Chris Cundy Aditya Grover Stefano Ermon CML 40 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 27 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 24 182 0 23 Sep 2021
DAGs with No Curl: An Efficient DAG Structure Learning Approach Yue Yu Tian Gao Naiyu Yin Q. Ji CML 22 59 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 26 63 0 14 May 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
A Recursive Markov Boundary-Based Approach to Causal Structure Learning Ehsan Mokhtarian S. Akbari AmirEmad Ghassami Negar Kiyavash CML 14 17 0 10 Oct 2020
Approximate learning of high dimensional Bayesian network structures via pruning of Candidate Parent Sets Zhi-gao Guo Anthony C. Constantinou 19 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 29 2 0 28 Oct 2019
On Pruning for Score-Based Bayesian Network Structure Learning Alvaro H. C. Correia James Cussens Cassio de Campos 21 14 0 23 May 2019
Size of Interventional Markov Equivalence Classes in Random DAG Models Dmitriy A. Katz Karthikeyan Shanmugam C. Squires Caroline Uhler CML 27 9 0 05 Mar 2019
Efficient Sampling and Structure Learning of Bayesian Networks Jack Kuipers Polina Suter G. Moffa TPM CML 21 69 0 21 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 25 25 0 21 Jan 2018
Entropy-based Pruning for Learning Bayesian Networks using BIC Cassio P. De Campos Mauro Scanagatta Giorgio Corani Marco Zaffalon 19 34 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 14 4 0 08 Mar 2017
Learning Directed Acyclic Graphs with Penalized Neighbourhood Regression Bryon Aragam Arash A. Amini Qing Zhou CML 19 42 0 29 Nov 2015
Exploiting compositionality to explore a large space of model structures Roger C. Grosse Ruslan Salakhutdinov William T. Freeman J. Tenenbaum 43 107 0 16 Oct 2012
Convex Structure Learning for Bayesian Networks: Polynomial Feature Selection and Approximate Ordering Yuhong Guo Dale Schuurmans TPM 45 15 0 27 Jun 2012