Deep Gaussian Process Emulation using Stochastic Imputation

Deyu Ming, Daniel Williamson, Serge Guillas

Deep Gaussian processes (DGPs) provide a rich class of models that can better represent functions with varying regimes or sharp changes, compared to conventional GPs. In this work,…