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Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation

Training Deep Gaussian Processes using Stochastic Expectation Propagation and Probabilistic Backpropagation

T. Bui
José Miguel Hernández-Lobato
Yingzhen Li
Daniel Hernández-Lobato
Richard Turner
ArXiv (abs)PDFHTML

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

4 / 4 papers shown
Title
Probabilistic Human Motion Prediction via A Bayesian Neural Network
Probabilistic Human Motion Prediction via A Bayesian Neural Network
Jie Xu
Xingyu Chen
Xuguang Lan
Nanning Zheng
3DH
47
5
0
14 Jul 2021
Deep learning with t-exponential Bayesian kitchen sinks
Deep learning with t-exponential Bayesian kitchen sinks
Harris Partaourides
S. Chatzis
BDL
15
4
0
10 Feb 2018
Deep Gaussian Covariance Network
Deep Gaussian Covariance Network
K. Cremanns
D. Roos
BDL
162
21
0
17 Oct 2017
Variational Auto-encoded Deep Gaussian Processes
Variational Auto-encoded Deep Gaussian Processes
Zhenwen Dai
Andreas C. Damianou
Javier I. González
Neil D. Lawrence
BDL
89
131
0
19 Nov 2015