Sample Out-Of-Sample Inference Based on Wasserstein Distance

Jose Blanchet, Yang Kang

We present a novel inference approach that we call Sample Out-of-Sample (or SOS) inference. The approach can be used widely, ranging from semi-supervised learning to stress testing…