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Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees.
Jonathan H. Huggins
Trevor Campbell
Mikolaj Kasprzak
Tamara Broderick
Published in:
CoRR (2018)
Keyphrases
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gaussian process
data sets
data analysis
bayesian framework
machine learning
decision trees
learning algorithm
bayesian networks
prior knowledge
probability distribution
input data
high dimensional data
prior information
gaussian process regression