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 intervention based on historical data from individuals who received it. However, in many settings it is important to predict the effects of novel, previously unseen interventions (e.g., a newly invented drug), which most existing methods do not add…