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A Unifying Framework for Gaussian Process Pseudo-Point Approximations
  using Power Expectation Propagation

A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation

23 May 2016
T. Bui
Josiah Yan
Richard Turner
ArXivPDFHTML

Papers citing "A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation"

4 / 4 papers shown
Title
A Latent Restoring Force Approach to Nonlinear System Identification
A Latent Restoring Force Approach to Nonlinear System Identification
T. Rogers
Tobias Friis
29
18
0
22 Sep 2021
Variational Implicit Processes
Variational Implicit Processes
Chao Ma
Yingzhen Li
José Miguel Hernández-Lobato
BDL
24
68
0
06 Jun 2018
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
39
76
0
16 Sep 2017
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