Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs

9 March 2015

Papers citing "Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs"

9 / 9 papers shown

Title
Adaptive RKHS Fourier Features for Compositional Gaussian Process Models Xinxing Shi Thomas Baldwin-McDonald Mauricio A. Álvarez 106 0 0 01 Jul 2024
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models Y. Gal Mark van der Wilk C. Rasmussen 67 150 0 06 Feb 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 101 1,230 0 26 Sep 2013
Variational inference for sparse spectrum Gaussian process regression Linda S. L. Tan V. M. Ong David J. Nott Ajay Jasra 97 15 0 09 Jun 2013
Structure Discovery in Nonparametric Regression through Compositional Kernel Search David Duvenaud J. Lloyd Roger C. Grosse J. Tenenbaum Zoubin Ghahramani 80 509 0 20 Feb 2013
Gaussian Process Kernels for Pattern Discovery and Extrapolation A. Wilson Ryan P. Adams GP 66 606 0 18 Feb 2013
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 96 1,179 0 02 Nov 2012
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 230 2,619 0 29 Jun 2012
A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning E. Brochu Vlad M. Cora Nando de Freitas GP 131 2,446 0 12 Dec 2010