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Variational Nearest Neighbor Gaussian Process

3 February 2022

Papers citing "Variational Nearest Neighbor Gaussian Process"

26 / 26 papers shown

Title
Correlation-based sparse inverse Cholesky factorization for fast Gaussian-process inference Myeong K. Kang Matthias Katzfuss 59 24 0 29 Dec 2021
Input Dependent Sparse Gaussian Processes B. Jafrasteh Carlos Villacampa-Calvo Daniel Hernández-Lobato UQCV 53 5 0 15 Jul 2021
Scalable Cross Validation Losses for Gaussian Process Models M. Jankowiak Geoff Pleiss 60 6 0 24 May 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 62 9 0 28 Feb 2021
Bias-Free Scalable Gaussian Processes via Randomized Truncations Andres Potapczynski Luhuan Wu D. Biderman Geoff Pleiss John P. Cunningham 75 20 0 12 Feb 2021
Sparse within Sparse Gaussian Processes using Neighbor Information Gia-Lac Tran Dimitrios Milios Pietro Michiardi Maurizio Filippone 32 16 0 10 Nov 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle Jacob R. Gardner 69 43 0 19 Jun 2020
A Framework for Interdomain and Multioutput Gaussian Processes Mark van der Wilk Vincent Dutordoir S. T. John A. Artemev Vincent Adam J. Hensman 84 95 0 02 Mar 2020
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
Rates of Convergence for Sparse Variational Gaussian Process Regression David R. Burt C. Rasmussen Mark van der Wilk 66 155 0 08 Mar 2019
Large-Scale Cox Process Inference using Variational Fourier Features S. T. John J. Hensman 49 31 0 03 Apr 2018
Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models Hugh Salimbeni Stefanos Eleftheriadis J. Hensman BDL 77 86 0 24 Mar 2018
Variational Inference for Gaussian Process Models with Linear Complexity Ching-An Cheng Byron Boots BDL 51 75 0 28 Nov 2017
A general framework for Vecchia approximations of Gaussian processes Matthias Katzfuss J. Guinness 88 261 0 21 Aug 2017
Billion-scale similarity search with GPUs Jeff Johnson Matthijs Douze Hervé Jégou 257 3,741 0 28 Feb 2017
Efficient algorithms for Bayesian Nearest Neighbor Gaussian Processes Andrew O. Finley A. Datta B. Cook Douglas C. Morton Hans-Erik Andersen Sudipto Banerjee 132 156 0 01 Feb 2017
Patchwork Kriging for Large-scale Gaussian Process Regression Chiwoo Park D. Apley 78 75 0 23 Jan 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 75 202 0 21 Nov 2016
Permutation and Grouping Methods for Sharpening Gaussian Process Approximations J. Guinness 381 151 0 17 Sep 2016
Understanding Probabilistic Sparse Gaussian Process Approximations Matthias Bauer Mark van der Wilk C. Rasmussen 59 259 0 15 Jun 2016
MCMC for Variationally Sparse Gaussian Processes J. Hensman A. G. Matthews Maurizio Filippone Zoubin Ghahramani 81 141 0 12 Jun 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 86 515 0 03 Mar 2015
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 153 1,167 0 31 Dec 2013
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 113 1,237 0 26 Sep 2013
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 281 395 0 02 Mar 2013
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 149 1,184 0 02 Nov 2012