Fully Scalable Gaussian Processes using Subspace Inducing Inputs

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Fully Scalable Gaussian Processes using Subspace Inducing Inputs

6 July 2018

Michalis K. Titsias

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Papers citing "Fully Scalable Gaussian Processes using Subspace Inducing Inputs"

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Title
Numerically Stable Sparse Gaussian Processes via Minimum Separation using Cover Trees Alexander Terenin David R. Burt A. Artemev Seth Flaxman Mark van der Wilk C. Rasmussen Hong Ge 99 7 0 14 Oct 2022
Conditioning Sparse Variational Gaussian Processes for Online Decision-making Wesley J. Maddox Samuel Stanton A. Wilson 76 32 0 28 Oct 2021
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes Sebastian W. Ober Laurence Aitchison BDL 112 60 0 17 May 2020
Weakly-supervised Multi-output Regression via Correlated Gaussian Processes Seokhyun Chung Raed Al Kontar Zhenke Wu 30 5 0 19 Feb 2020