Difference graph over two populations: Implicit Difference Inference algorithm

Daria Bystrova, Emilie Devijver, Vardan Manucharian, Julie Mondet, Pascal Mossuz

Keywords: causal discovery, difference graphs

Abstract: Comparing causal relations across different populations is essential in various fields, including medicine and ecology. Recently, several methods have been developed to directly infer difference graphs from observational data. These methods rely on semi-parametric assumptions and suppose that the data is continuous. We propose a new approach for discovering causal difference graphs without any semi-parametric assumption and can be applied on continuous or discrete or mixed data. We provide theoretical guarantees of the new method and test it on simulated data.

Submission Number: 27