References

[CMBGW20]

Aditya Chivukula, Alex Markham, Bernd Bischl, and Moritz Grosse-Wentrup. Learning MeDIL causal models using generative neural networks. 2020. masters thesis. URL: https://causal.dev/files/chivukula_thesis.pdf.

[CGM20]

Alessio Conte, Roberto Grossi, and Andrea Marino. Large-scale clique cover of real-world networks. Information and Computation, 270:104464, Feb 2020. URL: http://dx.doi.org/10.1016/j.ic.2019.104464, doi:10.1016/j.ic.2019.104464.

[GGHuffnerN09]

Jens Gramm, Jiong Guo, Falk Hüffner, and Rolf Niedermeier. Data reduction and exact algorithms for clique cover. Journal of Experimental Algorithmics, 13:2.2, Feb 2009. doi:10.1145/1412228.1412236.

[MCGW20]

Markham, Alex, Aditya Chivukula, and Moritz Grosse-Wentrup. Medil: a python package for causal modelling. International Conference on Probabilistic Graphical Models (PGM) Software Demonstration, 2020.

[MGW20]

Alex Markham and Moritz Grosse-Wentrup. Measurement dependence inducing latent causal models. Conference on Uncertainty in Artificial Intelligence (UAI), 2020. URL: http://www.auai.org/uai2020/proceedings/244_main_paper.pdf.

[MLAS23]

Alex Markham, Mingyu Liu, Bryon Aragam, and Liam Solus. Neuro-causal factor analysis. 2023. preprint, arXiv:2305.19802 [stat.ML]. URL: https://arxiv.org/abs/2305.19802.

[SzekelyRB07]

Gábor J. Székely, Maria L. Rizzo, and Nail K. Bakirov. Measuring and testing dependence by correlation of distances. The Annals of Statistics, 35(6):2769–2794, Dec 2007. doi:10.1214/009053607000000505.