Scalable Gaussian Process Separation for Kernels with a Non-Stationary Phase.

Jan Graßhoff Alexandra Jankowski Philipp Rostalski

Published in: ICML (2020)

Keyphrases

gaussian process models
non stationary
gaussian process
gaussian processes
gaussian process classification

covariance function
gaussian process regression
regression model
bayesian framework
model selection

hyperparameters
semi supervised
latent variables
autoregressive
expectation propagation

bayesian inference
pairwise
probability distribution
hidden markov models
prior knowledge