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Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization.
Geoff Pleiss
Martin Jankowiak
David Eriksson
Anil Damle
Jacob R. Gardner
Published in:
CoRR (2020)
Keyphrases
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gaussian processes
gaussian process
bayesian approaches
gaussian process regression
covariance function
bayesian methods
preference learning
multi task learning
human pose estimation
relevance vector machine
multi task
probability distribution
hyperparameters
gaussian process models
learning algorithm