Zero-shot causal learning

arXiv:2301.12292v4 Announce Type: replace
Abstract: Predicting how different interventions will causally affect a specific individual is important in a variety of domains such as personalized medicine, public policy, and online marketing. There are a large number of methods to predict the effect of an existing intervention based on historical data from individuals who received it. However, in many settings it is important to predict the effects of novel interventions (e.g., a newly invented drug), which these methods do not address. …

abstract arxiv cs.ai cs.cy cs.hc cs.lg data domains historical data marketing medicine personalized policy public public policy type will zero-shot