Connections and Equivalences between the Nyström Method and Sparse
Variational Gaussian Processes

Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes

2 June 2021

Motonobu Kanagawa

Dino Sejdinovic

Papers citing "Connections and Equivalences between the Nyström Method and Sparse Variational Gaussian Processes"

8 / 8 papers shown

Title
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 25 5 0 21 Dec 2022
Accelerated Linearized Laplace Approximation for Bayesian Deep Learning Zhijie Deng Feng Zhou Jun Zhu BDL 47 19 0 23 Oct 2022
Gaussian Process Koopman Mode Decomposition Takahiro Kawashima H. Hino 16 6 0 09 Sep 2022
Collaborative Learning in Kernel-based Bandits for Distributed Users Sudeep Salgia Sattar Vakili Qing Zhao FedML 34 6 0 16 Jul 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning Sattar Vakili Jonathan Scarlett Da-shan Shiu A. Bernacchia 25 18 0 08 Feb 2022
Contraction rates for sparse variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 52 17 0 22 Sep 2021
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization Marco Rando Luigi Carratino S. Villa Lorenzo Rosasco 36 5 0 16 Jun 2021
Sharp analysis of low-rank kernel matrix approximations Francis R. Bach 86 277 0 09 Aug 2012