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GP-HMAT: Scalable, O(n log(n)) Gaussian Process Regression with Hierarchical Low-Rank Matrices.
Vahid Keshavarzzadeh
Shandian Zhe
Robert M. Kirby
Akil Narayan
Published in:
CoRR (2022)
Keyphrases
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gaussian process regression
covariance function
low rank matrices
gaussian processes
gaussian process
low rank
lower bound
worst case
non stationary
data sets
semi supervised
active learning
bayesian framework
data points
matrix completion
training data
feature extraction