Pseudo-marginal Bayesian inference for Gaussian process latent variable models.

Charles W. L. Gadd Sara Wade A. A. Shah

Published in: Mach. Learn. (2021)

Keyphrases

bayesian inference
gaussian process latent variable models
probabilistic model
prior information
low dimensional
latent space
hyperparameters
probability distribution
data sets
particle filter
high dimensional
generative model
bayesian networks
information extraction
principal component analysis
graph cuts