Variational Orthogonal Features

Variational Orthogonal Features

23 June 2020

Mark van der Wilk

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Papers citing "Variational Orthogonal Features"

11 / 11 papers shown

Title
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression Lu Zou Liang Ding 78 0 0 20 Mar 2024
Integrated Variational Fourier Features for Fast Spatial Modelling with Gaussian Processes Talay M Cheema C. Rasmussen GP 122 2 0 27 Aug 2023
Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes Louis C. Tiao Vincent Dutordoir Victor Picheny BDL 57 0 0 27 Apr 2023
Free-Form Variational Inference for Gaussian Process State-Space Models Xuhui Fan Edwin V. Bonilla T. O’Kane Scott A. Sisson 66 9 0 20 Feb 2023
Spectrum Gaussian Processes Based On Tunable Basis Functions Wenqi Fang Guanlin Wu Jingjing Li Ziyi Wang Jiang Cao Yang Ping 15 0 0 14 Jul 2021
Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes Will Tebbutt Arno Solin Richard Turner 56 8 0 18 Jun 2021
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition Shengyang Sun Jiaxin Shi A. Wilson Roger C. Grosse BDL 31 7 0 10 Jun 2021
Deep Neural Networks as Point Estimates for Deep Gaussian Processes Vincent Dutordoir J. Hensman Mark van der Wilk Carl Henrik Ek Zoubin Ghahramani N. Durrande BDL UQCV 103 31 0 10 May 2021
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data M. Lemercier C. Salvi Thomas Cass Edwin V. Bonilla Theodoros Damoulas Terry Lyons 63 25 0 10 May 2021
A Tutorial on Sparse Gaussian Processes and Variational Inference Felix Leibfried Vincent Dutordoir S. T. John N. Durrande GP 127 51 0 27 Dec 2020
Matérn Gaussian Processes on Graphs Viacheslav Borovitskiy I. Azangulov Alexander Terenin P. Mostowsky M. Deisenroth N. Durrande 51 82 0 29 Oct 2020