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Aggregation Models with Optimal Weights for Distributed Gaussian Processes
GP models have received increasingly attentions in recent years due to their super prediction accuracy and modeling flexibility. To …
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Aggregation Models with Optimal Weights for Distributed Gaussian Processes
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner
Gaussian processes (GPs) are widely used in non-parametric Bayesian modeling, and play an important role in various statistical and …
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Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner