Approximate Inference for Fully Bayesian Gaussian Process Regression.

Vidhi Lalchand Carl Edward Rasmussen

Published in: CoRR (2019)

Keyphrases

approximate inference
gaussian process regression
gaussian process
gaussian processes
regression model

markov chain monte carlo
model selection
hyperparameters
latent variables
expectation propagation

bayesian framework
semi supervised
higher order
graphical models
closed form

bayesian networks
random variables
level set
pairwise