Active Learning for Deep Gaussian Process Surrogates

Annie Sauer, Robert B. Gramacy, David Higdon

Deep Gaussian processes (DGPs) are increasingly popular as predictive models in machine learning (ML) for their non-stationary flexibility and ability to cope with abrupt regime ch…