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Sparse spectral Bayesian permanental process with generalized kernel
J Sellier, P Dellaportas - International Conference on …, 2023 - proceedings.mlr.press
We introduce a novel scheme for Bayesian inference on permanental processes which
models the Poisson intensity as the square of a Gaussian process. Combining generalized …
models the Poisson intensity as the square of a Gaussian process. Combining generalized …
Trigonometric Quadrature Fourier Features for Scalable Gaussian Process Regression
Fourier feature approximations have been successfully applied in the literature for scalable
Gaussian Process (GP) regression. In particular, Quadrature Fourier Features (QFF) derived …
Gaussian Process (GP) regression. In particular, Quadrature Fourier Features (QFF) derived …
Stein random feature regression
In large-scale regression problems, random Fourier features (RFFs) have significantly
enhanced the computational scalability and flexibility of Gaussian processes (GPs) by …
enhanced the computational scalability and flexibility of Gaussian processes (GPs) by …