Efficient and Scalable Structure Learning for Bayesian Networks:
Algorithms and Applications

Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications

7 December 2020

Jingren Zhou

Papers citing "Efficient and Scalable Structure Learning for Bayesian Networks: Algorithms and Applications"

15 / 15 papers shown

Title
Scaling structural learning with NO-BEARS to infer causal transcriptome networks Hao-Chih Lee M. Danieletto Riccardo Miotto S. Cherng J. Dudley CML 21 45 0 31 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 125 257 0 29 Sep 2019
Causal Discovery with Reinforcement Learning Shengyu Zhu Ignavier Ng Zhitang Chen CML 21 239 0 11 Jun 2019
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 23 270 0 05 Jun 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 43 481 0 22 Apr 2019
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 50 925 0 04 Mar 2018
Bayesian Network Learning via Topological Order Young Woong Park Diego Klabjan TPM 30 29 0 20 Jan 2017
Structure Learning in Graphical Modeling Mathias Drton Marloes H. Maathuis CML 62 246 0 07 Jun 2016
No penalty no tears: Least squares in high-dimensional linear models Xiangyu Wang David B. Dunson Chenlei Leng 75 15 0 07 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 229 149,474 0 22 Dec 2014
Penalized Estimation of Directed Acyclic Graphs From Discrete Data J. Gu Fei Fu Qing Zhou CML 47 42 0 10 Mar 2014
Addendum on the scoring of Gaussian directed acyclic graphical models Jack Kuipers G. Moffa David Heckerman 90 70 0 27 Feb 2014
Learning Bayesian Networks: The Combination of Knowledge and Statistical Data David Heckerman D. Geiger D. M. Chickering TPM 83 3,980 0 27 Feb 2013
A Graphical Model Formulation of Collaborative Filtering Neighbourhood Methods with Fast Maximum Entropy Training Aaron Defazio T. Caetano GNN 335 14 0 18 Jun 2012
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model Shohei Shimizu Takanori Inazumi Yasuhiro Sogawa Aapo Hyvarinen Yoshinobu Kawahara Takashi Washio P. Hoyer K. Bollen CML 56 503 0 13 Jan 2011

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