Causal Unit Selection using Tractable Arithmetic Circuits

arXiv:2404.06681v1 Announce Type: cross
Abstract: The unit selection problem aims to find objects, called units, that optimize a causal objective function which describes the objects' behavior in a causal context (e.g., selecting customers who are about to churn but would most likely change their mind if encouraged). While early studies focused mainly on bounding a specific class of counterfactual objective functions using data, more recent work allows one to find optimal units exactly by reducing the causal objective to a …

abstract arxiv behavior causal change churn circuits context cs.ai cs.lg customers function mind objects stat.me studies tractable type units