$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains

Harsh Poonia; Moritz Willig; Zhongjie Yu; Matej Ze\vcević; Kristian Kersting; Devendra Singh Dhami

UAI 2024poster5 citations

$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains

Harsh Poonia, Moritz Willig, Zhongjie Yu, Matej Ze\vcević, Kristian Kersting, Devendra Singh Dhami

Abstract

Causal inference in hybrid domains, characterized by a mixture of discrete and continuous variables, presents a formidable challenge. We take a step towards this direction and propose

BibTeX

@InProceedings{pmlr-v244-poonia24a,
  title = 	 {$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains},
  author =       {Poonia, Harsh and Willig, Moritz and Yu, Zhongjie and Ze\v{}cevi\'c, Matej and Kersting, Kristian and Dhami, Devendra Singh},
  booktitle = 	 {Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence},
  pages = 	 {3004--3020},
  year = 	 {2024},
  editor = 	 {Kiyavash, Negar and Mooij, Joris M.},
  volume = 	 {244},
  series = 	 {Proceedings of Machine Learning Research},
  month = 	 {15--19 Jul},
  publisher =    {PMLR},
  pdf = 	 {https://raw.githubusercontent.com/mlresearch/v244/main/assets/poonia24a/poonia24a.pdf},
  url = 	 {https://proceedings.mlr.press/v244/poonia24a.html},
  abstract = 	 {Causal inference in hybrid domains, characterized by a mixture of discrete and continuous variables, presents a formidable challenge. We take a step towards this direction and propose