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August 20, 2024Open Access

Kernel-Based Differentiable Learning of Non-Parametric Directed Acyclic Graphical Models

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Authors

YLYurou LiangOZOleksandr ZadorozhnyiTechnical University of MunichMDMathias DrtonTechnical University of Munich

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Liang et al. (2024) studied this question.

synapsesocial.com/papers/68e5bb23b6db643587553149https://doi.org/10.48550/arxiv.2408.10976
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Scalable Variational Causal Discovery Unconstrained by Acyclicity2024 · 1 citations
  2. 2Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior2024
  3. 3Hybrid Global Causal Discovery with Local Search2024
  4. 4Personalized Binomial DAGs Learning with Network Structured Covariates2024
  5. 5Coordinated Multi-Neighborhood Learning on a Directed Acyclic Graph2024