Browsing by Subject "Variational inference"
Now showing items 1-2 of 2
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(2022-04-06)Functional principal component analysis is a popular technique used for analyzing the intrinsically infinite-dimensional functions. The functional principal components help explore the variation patterns of functions and ...
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(2023-08-07)Gaussian processes (GPs) are widely used for modeling functions in statistics and machine learning. However, for large-scale applications, direct GP inference is computationally intractable and requires approximations, ...