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Variational Fourier features for Gaussian processes

21 November 2016

Arno Solin

Papers citing "Variational Fourier features for Gaussian processes"

32 / 32 papers shown

Title
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model Sasan Vakili Manuel Mazo Jr. Peyman Mohajerin Esfahani 127 0 0 07 Apr 2025
Optimizing Posterior Samples for Bayesian Optimization via Rootfinding Taiwo A. Adebiyi Bach Do Ruda Zhang 200 2 0 29 Oct 2024
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models Xinxing Shi Thomas Baldwin-McDonald Mauricio A. Álvarez 165 0 0 01 Jul 2024
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 134 7 0 30 Jun 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 116 0 0 17 May 2024
Spatially scalable recursive estimation of Gaussian process terrain maps using local basis functions Frida Marie Viset Rudy Helmons Manon Kok 96 1 0 17 Oct 2022
GPflow: A Gaussian process library using TensorFlow A. G. Matthews Mark van der Wilk T. Nickson Keisuke Fujii A. Boukouvalas Pablo León-Villagrá Zoubin Ghahramani J. Hensman GP 89 665 0 27 Oct 2016
Regularizing Solutions to the MEG Inverse Problem Using Space-Time Separable Covariance Functions Arno Solin Pasi Jylänki Jaakko Kauramaki Tom Heskes Marcel van Gerven Simo Särkkä 44 9 0 17 Apr 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 351 4,821 0 04 Jan 2016
Thoughts on Massively Scalable Gaussian Processes A. Wilson Christoph Dann H. Nickisch 108 110 0 05 Nov 2015
Gaussian Process Random Fields David A. Moore Stuart J. Russell GP 42 19 0 31 Oct 2015
Blitzkriging: Kronecker-structured Stochastic Gaussian Processes T. Nickson Tom Gunter C. Lloyd Michael A. Osborne Stephen J. Roberts 76 21 0 27 Oct 2015
String and Membrane Gaussian Processes Yves-Laurent Kom Samo Stephen J. Roberts 71 18 0 24 Jul 2015
MCMC for Variationally Sparse Gaussian Processes J. Hensman A. G. Matthews Maurizio Filippone Zoubin Ghahramani 83 141 0 12 Jun 2015
Probabilistic Numerics and Uncertainty in Computations Philipp Hennig Michael A. Osborne Mark Girolami 84 307 0 03 Jun 2015
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes A. G. Matthews J. Hensman Richard Turner Zoubin Ghahramani 106 192 0 27 Apr 2015
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs Y. Gal Richard Turner 82 78 0 09 Mar 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 96 514 0 03 Mar 2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control M. Deisenroth Dieter Fox C. Rasmussen 150 695 0 10 Feb 2015
Distributed Gaussian Processes M. Deisenroth Jun Wei Ng GP 92 342 0 10 Feb 2015
Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE) Maurizio Filippone Raphael Engler 105 31 0 22 Jan 2015
A la Carte - Learning Fast Kernels Zichao Yang Alex Smola Le Song A. Wilson 96 133 0 19 Dec 2014
Scalable Variational Gaussian Process Classification J. Hensman A. G. Matthews Zoubin Ghahramani BDL 89 646 0 07 Nov 2014
Variational Inference for Gaussian Process Modulated Poisson Processes C. Lloyd Tom Gunter Michael A. Osborne Stephen J. Roberts 77 117 0 02 Nov 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 115 1,237 0 26 Sep 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation A. Wilson Ryan P. Adams GP 103 611 0 18 Feb 2013
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 154 1,184 0 02 Nov 2012
INLA or MCMC? A Tutorial and Comparative Evaluation for Spatial Prediction in log-Gaussian Cox Processes Benjamin M. Taylor P. Diggle 92 102 0 08 Feb 2012
Additive Gaussian Processes David Duvenaud H. Nickisch C. Rasmussen GP 116 331 0 19 Dec 2011
Additive Covariance Kernels for High-Dimensional Gaussian Process Modeling N. Durrande D. Ginsbourger O. Roustant L. Carraro 101 102 0 27 Nov 2011
Slice sampling covariance hyperparameters of latent Gaussian models Iain Murray Ryan P. Adams 129 232 0 04 Jun 2010
Elliptical slice sampling Iain Murray Ryan P. Adams D. MacKay 157 465 0 31 Dec 2009