An Analysis of Posterior Collapse, Parameterization and Initialization in Variational Deep Gaussian Processes

Francisco Javier Sáez-Maldonado, Juan Maroñas, Daniel Hernández-Lobato

DGPs are probabilistic models with remarkable prediction performance that concatenate GPs across several layers. Exact inference in DGPs is intractable, and variational inference i…