Gaussian Process Subspace Regression for Model Reduction.

Ruda Zhang Simon Mak David Dunson

Published in: CoRR (2021)

Keyphrases

gaussian process
gaussian processes
regression model
bayesian framework
dynamical model
feature space
prior information
parameter values
pairwise
probabilistic model
autoregressive
approximate inference
gaussian process regression
expectation propagation
covariance function