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Distributed Gaussian Processes
To scale Gaussian processes (GPs) to large data sets we introduce the robust Bayesian Committee Machine (rBCM), a practical and scalable product-of-experts model for large-scale distributed GP regression.
Hierarchical Mixture-of-Experts Model for Large-Scale Gaussian Process Regression
We propose a practical and scalable Gaussian process model for large-scale nonlinear probabilistic regression.
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