DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization

16 September 2022

Papers citing "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

9 / 59 papers shown

Title
Structure Learning with Continuous Optimization: A Sober Look and Beyond Ignavier Ng Biwei Huang Kun Zhang CML 21 21 0 04 Apr 2023
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting An Zhang Fang Liu Wenchang Ma Zhibo Cai Xiang Wang Tat-Seng Chua CML 24 5 0 06 Mar 2023
DAG Learning on the Permutahedron Valentina Zantedeschi Luca Franceschi Jean Kaddour Matt J. Kusner Vlad Niculae 25 11 0 27 Jan 2023
Causal Fourier Analysis on Directed Acyclic Graphs and Posets B. Seifert Chris Wendler Markus Püschel 40 19 0 16 Sep 2022
Differentiable and Transportable Structure Learning Jeroen Berrevoets Nabeel Seedat F. Imrie M. Schaar 14 2 0 13 Jun 2022
Causal Graph Discovery from Self and Mutually Exciting Time Series S. Wei Yao Xie C. Josef Rishikesan Kamaleswaran CML 27 2 0 04 Jun 2021
DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks Dennis L. Wei Tian Gao Yue Yu CML 56 71 0 18 Oct 2020
Causal Adversarial Network for Learning Conditional and Interventional Distributions Raha Moraffah Bahman Moraffah Mansooreh Karami A. Raglin Huan Liu OOD GAN CML 44 21 0 26 Aug 2020
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 106 258 0 29 Sep 2019