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Showing 1 to 2 of 2 for “"inducing points"”.
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Efficient computer experiment designs for Gaussian process surrogates
… process (LIGP) incorporates latent design points, inducing points, with a local Gaussian process built from a subset of the data. Various methods are introduced for the design of the inducing points. LIGP is then extended to adapt to stochastic data with replicates, estimating noise while …
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Function-Space Bayesian Learning: from Gaussian Processes to Bayesian Deep Learning
… in neural networks can be viewed as inter-domain inducing points so that I can draw an equivalence between finite neural networks and sparse Gaussian processes. In the last part, I employ Bayesian models for online memory selection and improve the robustness against imbalanced data streams in …