Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs.

Yarin Gal Richard Turner

Published in: ICML (2015)

Keyphrases

gaussian process
covariance function
sparse approximation
sparse approximations
gaussian processes
gaussian process regression

marginal likelihood
expectation propagation
regression model
bayesian framework
sparse representation
model selection

hyperparameters
approximate inference
latent variables
gaussian process classification
non stationary
semi supervised

high dimensional
sparse coding
data sets
input data
higher order
image processing