Stein Random Feature Regression

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Stein Random Feature Regression

1 June 2024

Rafael Oliveira

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Papers citing "Stein Random Feature Regression"

13 / 13 papers shown

Title
Integrated Variational Fourier Features for Fast Spatial Modelling with Gaussian Processes Talay M Cheema C. Rasmussen GP 122 2 0 27 Aug 2023
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 124 176 0 23 Apr 2020
Stein Variational Gradient Descent With Matrix-Valued Kernels Dilin Wang Ziyang Tang Minh Nguyen Qiang Liu 90 62 0 28 Oct 2019
Harmonizable mixture kernels with variational Fourier features Zheyan Shen Markus Heinonen Samuel Kaski 79 17 0 10 Oct 2018
Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features Jean-François Ton Seth Flaxman Dino Sejdinovic Samir Bhatt GP 73 54 0 15 Nov 2017
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 82 202 0 21 Nov 2016
Orthogonal Random Features Felix X. Yu A. Suresh K. Choromanski D. Holtmann-Rice Sanjiv Kumar 99 222 0 28 Oct 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 102 1,094 0 16 Aug 2016
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 261 889 0 06 Nov 2015
Scalable Variational Gaussian Process Classification J. Hensman A. G. Matthews Zoubin Ghahramani BDL 89 646 0 07 Nov 2014
Gaussian Process Kernels for Pattern Discovery and Extrapolation A. Wilson Ryan P. Adams GP 103 611 0 18 Feb 2013
Kernels for Vector-Valued Functions: a Review Mauricio A. Alvarez Lorenzo Rosasco Neil D. Lawrence GP 222 930 0 30 Jun 2011
Slice sampling covariance hyperparameters of latent Gaussian models Iain Murray Ryan P. Adams 129 232 0 04 Jun 2010