Variance Reduction for Matrix Computations with Applications to Gaussian Processes.

Anant Mathur Sarat Moka Zdravko Botev

Published in: VALUETOOLS (2021)

Keyphrases

gaussian processes
variance reduction
gaussian process
sample size
monte carlo
gaussian process regression
hyperparameters
importance sampling
bayesian framework
naive bayes classifier
covariance matrix
multi task
semi supervised
parameter estimation
latent variables