AI RESEARCH
Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach
arXiv CS.LG
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ArXi:2604.05829v1 Announce Type: new Approaches to bivariate causal discovery based on the minimum description length (MDL) principle approximate the (uncomputable) Kolmogoro complexity of the models in each causal direction, selecting the one with the lower total complexity. The premise is that nature's mechanisms are simpler in their true causal order. Inherently, the description length (complexity) in each direction includes the description of the cause variable and that of the causal mechanism.