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Parallel Gaussian Process with Kernel Approximation in Cuda

https://doi.org/10.2139/ssrn.4772838
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00365-012-9153-3openalex-extracted
Mercer’s Theorem on General Domains: On the Interaction between Measures, Kernels, and RKHSs
inferredcites →https://doi.org/10.1109/mis.2022.3169036openalex-extracted
Fast Approximate Multioutput Gaussian Processes
inferredcites →https://doi.org/10.1137/110824784openalex-extracted
Stable Evaluation of Gaussian Radial Basis Function Interpolants
inferredcites →https://doi.org/10.17863/cam.15597openalex-extracted
On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes
inferredcites →https://doi.org/10.21105/joss.04455openalex-extracted
GPJax: A Gaussian Process Framework in JAX
inferredcites →https://doi.org/10.48550/arxiv.1401.0362openalex-extracted
EigenGP: Gaussian Process Models with Adaptive Eigenfunctions
inferredcites →https://doi.org/10.48550/arxiv.1809.11165openalex-extracted
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
inferredcites →https://doi.org/10.48550/arxiv.2003.01115openalex-extracted
A Framework for Interdomain and Multioutput Gaussian Processes
inferredcites →https://doi.org/10.5555/1046920.1194909openalex-extracted
A Unifying View of Sparse Approximate Gaussian Process Regression
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