v1v2 (latest)

Variational Fourier features for Gaussian processes

21 November 2016

Arno Solin

Papers citing "Variational Fourier features for Gaussian processes"

38 / 138 papers shown

Title
Conjugate Gradients for Kernel Machines Simon Bartels Philipp Hennig 61 4 0 14 Nov 2019
Compositional uncertainty in deep Gaussian processes Ivan Ustyuzhaninov Ieva Kazlauskaite Markus Kaiser Erik Bodin Neill D. F. Campbell Carl Henrik Ek UQCV 95 23 0 17 Sep 2019
Band-Limited Gaussian Processes: The Sinc Kernel Felipe A. Tobar 40 20 0 16 Sep 2019
Kernel Mode Decomposition and programmable/interpretable regression networks H. Owhadi C. Scovel G. Yoo 95 5 0 19 Jul 2019
Sparse Spectrum Gaussian Process for Bayesian Optimization Ang Yang Cheng Li Santu Rana Sunil R. Gupta Svetha Venkatesh 56 5 0 21 Jun 2019
The Functional Neural Process Christos Louizos Xiahan Shi Klamer Schutte Max Welling BDL 75 77 0 19 Jun 2019
Deep Compositional Spatial Models A. Zammit‐Mangion T. L. J. Ng Quan Vu Maurizio Filippone 124 57 0 06 Jun 2019
Scalable Training of Inference Networks for Gaussian-Process Models Jiaxin Shi Mohammad Emtiyaz Khan Jun Zhu BDL 49 18 0 27 May 2019
Learning spectrograms with convolutional spectral kernels Zheyan Shen Markus Heinonen Samuel Kaski 62 9 0 23 May 2019
Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features Arno Solin Manon Kok 66 23 0 10 Apr 2019
Rates of Convergence for Sparse Variational Gaussian Process Regression David R. Burt C. Rasmussen Mark van der Wilk 76 155 0 08 Mar 2019
Low-pass filtering as Bayesian inference Cristobal Valenzuela Felipe A. Tobar AI4TS 26 2 0 09 Feb 2019
End-to-End Probabilistic Inference for Nonstationary Audio Analysis William J. Wilkinson Michael Riis Andersen Joshua D. Reiss D. Stowell Arno Solin 51 5 0 31 Jan 2019
Neural Non-Stationary Spectral Kernel Sami Remes Markus Heinonen Samuel Kaski BDL 50 9 0 27 Nov 2018
Infinite-Horizon Gaussian Processes Arno Solin J. Hensman Richard Turner 50 28 0 15 Nov 2018
Large-scale Heteroscedastic Regression via Gaussian Process Haitao Liu Yew-Soon Ong Jianfei Cai BDL 59 26 0 03 Nov 2018
Understanding and Comparing Scalable Gaussian Process Regression for Big Data Haitao Liu Jianfei Cai Yew-Soon Ong Yi Wang 72 26 0 03 Nov 2018
Sparse Gaussian Process Audio Source Separation Using Spectrum Priors in the Time-Domain Pablo A. Alvarado Mauricio A. Alvarez D. Stowell 16 7 0 30 Oct 2018
Harmonizable mixture kernels with variational Fourier features Zheyan Shen Markus Heinonen Samuel Kaski 81 17 0 10 Oct 2018
GPdoemd: a Python package for design of experiments for model discrimination Simon Olofsson Lukas Hebing Sebastian Niedenführ M. Deisenroth Ruth Misener 49 18 0 05 Oct 2018
Symmetry Exploits for Bayesian Cubature Methods Toni Karvonen Simo Särkkä Chris J. Oates 56 15 0 26 Sep 2018
Orthogonally Decoupled Variational Gaussian Processes Hugh Salimbeni Ching-An Cheng Byron Boots M. Deisenroth 70 43 0 24 Sep 2018
Bayesian Nonparametric Spectral Estimation Felipe A. Tobar 50 30 0 06 Sep 2018
Bayesian quadrature and energy minimization for space-filling design L. Pronzato A. Zhigljavsky 112 9 0 31 Aug 2018
Compressible Spectral Mixture Kernels with Sparse Dependency Structures for Gaussian Processes Kai Chen Yijue Dai Feng Yin Shuguang Cui Sergios Theodoridis 53 3 0 01 Aug 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 133 697 0 03 Jul 2018
Large-Scale Cox Process Inference using Variational Fourier Features S. T. John J. Hensman 57 31 0 03 Apr 2018
State Space Gaussian Processes with Non-Gaussian Likelihood H. Nickisch Arno Solin A. Grigorevskiy GP 74 32 0 13 Feb 2018
Variational Inference for Gaussian Process Models with Linear Complexity Ching-An Cheng Byron Boots BDL 59 75 0 28 Nov 2017
Forecasting of commercial sales with large scale Gaussian Processes Rodrigo Rivera Evgeny Burnaev 44 22 0 16 Sep 2017
Convolutional Gaussian Processes Mark van der Wilk C. Rasmussen J. Hensman BDL 85 132 0 06 Sep 2017
Spectral Mixture Kernels for Multi-Output Gaussian Processes Gabriel Parra Felipe A. Tobar 61 79 0 05 Sep 2017
Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction Hossein Soleimani J. Hensman Suchi Saria 73 60 0 16 Aug 2017
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music Pablo A. Alvarado D. Stowell 30 7 0 19 May 2017
Parametric Gaussian Process Regression for Big Data M. Raissi 89 39 0 11 Apr 2017
Generic Inference in Latent Gaussian Process Models Edwin V. Bonilla K. Krauth Amir Dezfouli BDL 64 28 0 02 Sep 2016
Modeling and interpolation of the ambient magnetic field by Gaussian processes Arno Solin Manon Kok Niklas Wahlström Thomas B. Schon Simo Särkkä 42 119 0 15 Sep 2015
Hilbert Space Methods for Reduced-Rank Gaussian Process Regression Arno Solin Simo Särkkä 233 218 0 21 Jan 2014