DAGs with No Curl: An Efficient DAG Structure Learning Approach

14 June 2021

Papers citing "DAGs with No Curl: An Efficient DAG Structure Learning Approach"

26 / 26 papers shown

Title
Causal Discovery via Bayesian Optimization Bao Duong Sunil Gupta Thin Nguyen 140 0 0 28 Jan 2025
LOCAL: Learning with Orientation Matrix to Infer Causal Structure from Time Series Data Yue Cheng Jiajun Zhang Weiwei Xing Xiaoyu Guo Yue Cheng Witold Pedrycz CML 102 0 0 25 Oct 2024
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 80 71 0 18 Oct 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs Ignavier Ng AmirEmad Ghassami Kun Zhang CML 52 189 0 17 Jun 2020
Learning DAGs without imposing acyclicity Gherardo Varando CML 49 12 0 04 Jun 2020
Masked Gradient-Based Causal Structure Learning Ignavier Ng Shengyu Zhu Zhuangyan Fang Haoyang Li Zhitang Chen Jun Wang CML 112 117 0 18 Oct 2019
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric Xing CML 153 260 0 29 Sep 2019
Causal Discovery with Reinforcement Learning Shengyu Zhu Ignavier Ng Zhitang Chen CML 56 240 0 11 Jun 2019
Gradient-Based Neural DAG Learning Sébastien Lachapelle P. Brouillard T. Deleu Simon Lacoste-Julien BDL CML 57 275 0 05 Jun 2019
DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu Jie Chen Tian Gao Mo Yu BDL CML GNN 76 487 0 22 Apr 2019
On Causal Discovery with Equal Variance Assumption Wenyu Chen Mathias Drton Y Samuel Wang CML 68 85 0 09 Jul 2018
DAGs with NO TEARS: Continuous Optimization for Structure Learning Xun Zheng Bryon Aragam Pradeep Ravikumar Eric Xing NoLa CML OffRL 96 942 0 04 Mar 2018
Structure Learning in Bayesian Networks of Moderate Size by Efficient Sampling Ru He Jin Tian Huaiqin Wu CML 88 12 0 19 Jan 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.8K 150,115 0 22 Dec 2014
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation Prateek Jain Ambuj Tewari Purushottam Kar 148 231 0 20 Oct 2014
Advances in Learning Bayesian Networks of Bounded Treewidth S. Nie Denis Deratani Mauá Cassio Polpo de Campos Q. Ji TPM 158 35 0 05 Jun 2014
CAM: Causal additive models, high-dimensional order search and penalized regression Peter Buhlmann J. Peters J. Ernest CML 116 325 0 06 Oct 2013
Causal Discovery with Continuous Additive Noise Models Jonas Peters Joris Mooij Dominik Janzing Bernhard Schölkopf CML 103 569 0 26 Sep 2013
Being Bayesian about Network Structure N. Friedman D. Koller TPM 125 343 0 16 Jan 2013
Large-Sample Learning of Bayesian Networks is NP-Hard D. M. Chickering Christopher Meek David Heckerman BDL 127 795 0 19 Oct 2012
Ordering-Based Search: A Simple and Effective Algorithm for Learning Bayesian Networks M. Teyssier D. Koller 146 374 0 04 Jul 2012
A simple approach for finding the globally optimal Bayesian network structure T. Silander P. Myllymäki TPM 90 398 0 27 Jun 2012
Bayesian network learning with cutting planes James Cussens 61 258 0 14 Feb 2012
Partial Order MCMC for Structure Discovery in Bayesian Networks Teppo Niinimaki P. Parviainen Mikko Koivisto 65 39 0 14 Feb 2012
Extended Bayesian Information Criteria for Gaussian Graphical Models Rina Foygel Mathias Drton 169 870 0 30 Nov 2010
Statistical ranking and combinatorial Hodge theory Xiaoye Jiang Lek-Heng Lim Yuan Yao Yinyu Ye 101 372 0 07 Nov 2008