Rates of Convergence for Sparse Variational Gaussian Process Regression

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Rates of Convergence for Sparse Variational Gaussian Process Regression

8 March 2019

Mark van der Wilk

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Papers citing "Rates of Convergence for Sparse Variational Gaussian Process Regression"

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Title
Verification and Validation for Trustworthy Scientific Machine Learning John D. Jakeman Lorena A. Barba J. Martins Thomas O'Leary-Roseberry AI4CE 120 0 0 21 Feb 2025
Exact sampling of determinantal point processes with sublinear time preprocessing Michal Derezinski Daniele Calandriello Michal Valko 56 55 0 31 May 2019
Scalable Gaussian Process Inference with Finite-data Mean and Variance Guarantees Jonathan H. Huggins Trevor Campbell Mikolaj Kasprzak Tamara Broderick 62 15 0 26 Jun 2018
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 68 200 0 21 Nov 2016
Exact Sampling from Determinantal Point Processes Philipp Hennig Roman Garnett 54 18 0 22 Sep 2016
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer Mark van der Wilk C. Rasmussen 52 259 0 15 Jun 2016
Fast DPP Sampling for Nyström with Application to Kernel Methods Chengtao Li Stefanie Jegelka S. Sra 48 76 0 19 Mar 2016
Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes Nima Anari S. Gharan A. Rezaei 49 130 0 16 Feb 2016
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes A. G. Matthews J. Hensman Richard Turner Zoubin Ghahramani 81 192 0 27 Apr 2015
Scalable Variational Gaussian Process Classification J. Hensman A. G. Matthews Zoubin Ghahramani BDL 75 645 0 07 Nov 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 107 1,232 0 26 Sep 2013
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning Alex Gittens Michael W. Mahoney 118 415 0 07 Mar 2013