Investigation of complexity-based criteria for determining the causal direction from observational data.
The code in this repository was used for the criteria presented and the experiments of the paper:
'Inferring Causal Direction from Observational Data: A Complexity Approach', N. Nikolaou and K. Sechidis, presented at the Machine Learning for Pharma and Healthcare Applications ECML--PKDD 2020 Workshop (PharML 2020).
Link to paper: https://drive.google.com/file/d/17CWnF-gPXrVq--r50681i1Rsp6QhAba2/view