Abstract: Deep Gaussian process (DGP) models offer a powerful nonparametric approach for Bayesian inference, but exact inference is typically intractable, motivating the use of various approximations.
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Judge says Greenpeace must pay $345 million in pipeline lawsuit, cutting jury amount nearly in half Republican senators strongly rebuke Trump's NATO troop withdrawal Dodgers make lineup changes for ...
Abstract: For industrial process monitoring, Gaussian and non-Gaussian data-driven models are two important representatives that have been developed separately in the past years. Although several ...
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