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Variational Inference for Uncertainty on the Inputs of Gaussian Process
  Models

Variational Inference for Uncertainty on the Inputs of Gaussian Process Models

8 September 2014
Andreas C. Damianou
Michalis K. Titsias
Neil D. Lawrence
ArXivPDFHTML

Papers citing "Variational Inference for Uncertainty on the Inputs of Gaussian Process Models"

3 / 3 papers shown
Title
Mapping the magnetic field using a magnetometer array with noisy input
  Gaussian process regression
Mapping the magnetic field using a magnetometer array with noisy input Gaussian process regression
Thomas Edridge
Manon Kok
14
0
0
25 Oct 2023
On the use of bootstrap with variational inference: Theory,
  interpretation, and a two-sample test example
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example
Yen-Chi Chen
Y Samuel Wang
E. Erosheva
BDL
22
19
0
29 Nov 2017
On Sparse variational methods and the Kullback-Leibler divergence
  between stochastic processes
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes
A. G. Matthews
J. Hensman
Richard Turner
Zoubin Ghahramani
39
189
0
27 Apr 2015
1