A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models

Details

Title : A Critical Look at the Consistency of Causal Estimation with Deep Latent Variable Models Author(s): Severi Rissanen, Pekka Marttinen

Summary

Paper runs experiments to study the consistency (of estimating causal effects) when deep latent variable models are used. For this, the authors use the CEVAE, and show that it does not estimate the causal effect correctly when latent variables are misspecified or the data distribution is complex - e.g. linear Gaussian data with an extra (proxy) variable with irrelevant high variance noise and linear Gaussian data with repeated proxies.

Thoughts

Author: Nazaal

Created: 2022-03-13 Sun 21:44

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