Scalable Log Determinants for Gaussian Process Kernel Learning.

Kun Dong David Eriksson Hannes Nickisch David Bindel Andrew Gordon Wilson

Published in: CoRR (2017)

Keyphrases

gaussian process
kernel learning
semi supervised
gaussian processes
regression model
multi task learning

support vector regression
kernel matrix
kernel function
pairwise constraints
latent variables
model selection

kernel methods
labeled data
multiple kernel learning
bayesian framework
hyperparameters
metric learning

learning tasks
supervised learning
pairwise
semi supervised learning
random sampling
bayesian inference