2020
Interpretable Deep Gaussian Processes with Moments
AISTATS 2020poster
Deep Gaussian Processes (DGPs) combine the the expressiveness of Deep Neural Networks (DNNs) with quantified uncertainty of Gaussian Processes (GPs). Expressive power and intractable inference both result from the non-Gaussian distribution over composition functions. We propose interpretable DGP bas…