Scalable Gaussian Processes with Grid-Structured Eigenfunctions
(GP-GRIEF)

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Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)

5 July 2018

Trefor W. Evans

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Papers citing "Scalable Gaussian Processes with Grid-Structured Eigenfunctions (GP-GRIEF)"

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Title
Posterior and Computational Uncertainty in Gaussian Processes Jonathan Wenger Geoff Pleiss Marvin Pfortner Philipp Hennig John P. Cunningham 143 20 0 30 May 2022
Kernel Interpolation for Scalable Online Gaussian Processes Samuel Stanton Wesley J. Maddox Ian A. Delbridge A. Wilson GP 59 30 0 02 Mar 2021
Hierarchical Inducing Point Gaussian Process for Inter-domain Observations Luhuan Wu Andrew C. Miller Lauren Anderson Geoff Pleiss David M. Blei John P. Cunningham 70 9 0 28 Feb 2021
Kernel Conditional Density Operators Ingmar Schuster Mattes Mollenhauer Stefan Klus Krikamol Muandet 82 26 0 27 May 2019
Exact Gaussian Processes on a Million Data Points Ke Alexander Wang Geoff Pleiss Jacob R. Gardner Stephen Tyree Kilian Q. Weinberger A. Wilson GP 62 230 0 19 Mar 2019
Deep convolutional Gaussian processes Kenneth Blomqvist Samuel Kaski Markus Heinonen BDL 86 61 0 06 Oct 2018
GPdoemd: a Python package for design of experiments for model discrimination Simon Olofsson Lukas Hebing Sebastian Niedenführ M. Deisenroth Ruth Misener 49 18 0 05 Oct 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 136 697 0 03 Jul 2018