Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation

11 November 2015

José Miguel Hernández-Lobato

Papers citing "Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation"

4 / 4 papers shown

Title
Deep Gaussian Covariance Network K. Cremanns D. Roos BDL 24 20 0 17 Oct 2017
Inverse Reinforcement Learning via Deep Gaussian Process Ming Jin Andreas C. Damianou Pieter Abbeel C. Spanos OffRL BDL GP 23 22 0 26 Dec 2015
Variational Auto-encoded Deep Gaussian Processes Zhenwen Dai Andreas C. Damianou Javier I. González Neil D. Lawrence BDL 24 131 0 19 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,145 0 06 Jun 2015