Michele Doro

Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference

An open scientific challenge is how to classify events with reliable measures of uncertainty, when we have a mechanistic model of the data-generating process but the distribution over both labels and latent nuisance parameters is different between train and target data. We refer to this type of dist…