Gradient Descent for Gaussian Processes Variance Reduction.

Lorenzo Bottarelli Marco Loog

Published in: S+SSPR (2018)

Keyphrases

gaussian processes
variance reduction
sample size
gaussian process
monte carlo
hyperparameters
importance sampling
objective function
model selection
multi task
cross validation
bayesian framework
random sampling
text categorization
confidence intervals
active learning
naive bayes classifier
support vector
data sets