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Variance Reduction for Matrix Computations with Applications to Gaussian Processes.
Anant Mathur
Sarat Moka
Zdravko Botev
Published in:
CoRR (2021)
Keyphrases
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gaussian processes
variance reduction
sample size
monte carlo
gaussian process
hyperparameters
gaussian process regression
covariance matrix
importance sampling
bayesian networks
support vector
upper bound
supervised learning