Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery

5 January 2024

Papers citing "Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery"

6 / 6 papers shown

Title
LLM-initialized Differentiable Causal Discovery Shiv Kampani David Hidary Constantijn van der Poel Martin Ganahl Brenda Miao 28 0 0 28 Oct 2024
Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models Yurou Liang Oleksandr Zadorozhnyi Mathias Drton CML 36 0 0 20 Aug 2024
DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization Kevin Bello Bryon Aragam Pradeep Ravikumar 59 78 0 16 Sep 2022
NTS-NOTEARS: Learning Nonparametric DBNs With Prior Knowledge Xiangyuan Sun Oliver Schulte Guiliang Liu Pascal Poupart CML BDL 46 18 0 09 Sep 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
Learning Sparse Nonparametric DAGs Xun Zheng Chen Dan Bryon Aragam Pradeep Ravikumar Eric P. Xing CML 109 258 0 29 Sep 2019