Inferring Manifolds From Noisy Data Using Gaussian Processes.

David B. Dunson Nan Wu

Published in: CoRR (2021)

Keyphrases

noisy data
gaussian processes
high dimensional
gaussian process
gaussian process regression
covariance function
missing data
low dimensional
hyperparameters
missing values
gaussian process models
high dimensionality
training data
multi task
input data
nearest neighbor
pairwise
feature space