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UvA-DARE (Digital

Maximilian Ilse P. Forré Max Welling Joris M. Mooij
· 0 citations · 35 references

TL;DR

A novel causal reduction method is proposed that replaces an arbitrary number of possibly high-dimensional latent confounders with a single latent confounder that lives in the same space as the treatment variable without changing the observational and interventional distributions entailed by the causal model.

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