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Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models.
Haibin Yu
Trong Nghia Hoang
Kian Hsiang Low
Patrick Jaillet
Published in:
CoRR (2017)
Keyphrases
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gaussian process
regression model
variational inference
fully bayesian
gaussian processes
approximate inference
model selection
dirichlet process
high dimensional
monte carlo
graph cuts