General linear-time inference for Gaussian Processes on one dimension.

Jackson Loper David M. Blei John P. Cunningham Liam Paninski

Published in: CoRR (2020)

Keyphrases

gaussian processes
gaussian process
covariance function
gaussian process regression
dirichlet process
hyperparameters
bayesian inference
higher order
multi task learning
bayesian networks
upper bound
semi supervised
denoising
prior information
relevance vector machine
gaussian process models