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Variational Inference for Gaussian Process Models with Linear Complexity.
Ching-An Cheng
Byron Boots
Published in:
CoRR (2017)
Keyphrases
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linear complexity
variational inference
gaussian process
gaussian process models
gaussian processes
model selection
regression model
hyperparameters
latent variables
semi supervised
bayesian framework
bayesian inference
training data
topic models
random sampling