Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes

18 June 2021

Arno Solin

Papers citing "Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes"

20 / 20 papers shown

Title
Sparse Gaussian Process Variational Autoencoders Matthew Ashman Jonathan So Will Tebbutt Vincent Fortuin Michael Pearce Richard Turner 80 35 0 20 Oct 2020
State Space Expectation Propagation: Efficient Inference Schemes for Temporal Gaussian Processes William J. Wilkinson Paul E. Chang Michael Riis Andersen Arno Solin 37 13 0 12 Jul 2020
Fast Variational Learning in State-Space Gaussian Process Models Paul E. Chang William J. Wilkinson Mohammad Emtiyaz Khan Arno Solin BDL 23 24 0 09 Jul 2020
Sparse Gaussian Processes with Spherical Harmonic Features Vincent Dutordoir N. Durrande J. Hensman 58 55 0 30 Jun 2020
Variational Orthogonal Features David R. Burt C. Rasmussen Mark van der Wilk BDL DRL 38 12 0 23 Jun 2020
Doubly Sparse Variational Gaussian Processes Vincent Adam Stefanos Eleftheriadis N. Durrande A. Artemev J. Hensman 52 26 0 15 Jan 2020
Band-Limited Gaussian Processes: The Sinc Kernel Felipe A. Tobar 31 19 0 16 Sep 2019
Temporal Parallelization of Bayesian Smoothers Simo Särkkä Á. F. García-Fernández 147 41 0 30 May 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression David R. Burt C. Rasmussen Mark van der Wilk 47 153 0 08 Mar 2019
Infinite-Horizon Gaussian Processes Arno Solin J. Hensman Richard Turner 28 28 0 15 Nov 2018
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models Mohammad Emtiyaz Khan Didrik Nielsen BDL 66 62 0 12 Jul 2018
Product Kernel Interpolation for Scalable Gaussian Processes Jacob R. Gardner Geoff Pleiss Ruihan Wu Kilian Q. Weinberger A. Wilson 56 74 0 24 Feb 2018
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models Mohammad Emtiyaz Khan Wu Lin BDL 47 135 0 13 Mar 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 58 200 0 21 Nov 2016
Parallelizable sparse inverse formulation Gaussian processes (SpInGP) A. Grigorievskiy Neil D. Lawrence Simo Särkkä 44 22 0 25 Oct 2016
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes A. G. Matthews J. Hensman Richard Turner Zoubin Ghahramani 73 192 0 27 Apr 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 61 513 0 03 Mar 2015
Scalable Variational Gaussian Process Classification J. Hensman A. G. Matthews Zoubin Ghahramani BDL 64 642 0 07 Nov 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 101 1,230 0 26 Sep 2013
Additive Gaussian Processes David Duvenaud H. Nickisch C. Rasmussen GP 94 329 0 19 Dec 2011