Juan José Murillo-Fuentes

Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo

Deep Gaussian Processes (DGPs) are hierarchical generalizations of Gaussian Processes that combine well calibrated uncertainty estimates with the high flexibility of multilayer models. One of the biggest challenges with these models is that exact inference is intractable. The current state-of-the-ar…