Gauss-Legendre Features for Gaussian Process Regression

4 January 2021

Papers citing "Gauss-Legendre Features for Gaussian Process Regression"

11 / 11 papers shown

Title
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees H. Avron Michael Kapralov Cameron Musco Christopher Musco A. Velingker A. Zandieh 58 156 0 26 Apr 2018
Quadrature-based features for kernel approximation Marina Munkhoeva Yermek Kapushev Evgeny Burnaev Ivan Oseledets 58 54 0 11 Feb 2018
Spatial Mapping with Gaussian Processes and Nonstationary Fourier Features Jean-François Ton Seth Flaxman Dino Sejdinovic Samir Bhatt GP 58 53 0 15 Nov 2017
Scalable Log Determinants for Gaussian Process Kernel Learning Kun Dong David Eriksson H. Nickisch D. Bindel A. Wilson 49 95 0 09 Nov 2017
Gaussian Quadrature for Kernel Features Tri Dao Christopher De Sa Christopher Ré 56 49 0 08 Sep 2017
On the Error of Random Fourier Features Danica J. Sutherland J. Schneider 74 192 0 09 Jun 2015
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 67 130 0 06 Jun 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 61 513 0 03 Mar 2015
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels H. Avron Vikas Sindhwani Jiyan Yang Michael W. Mahoney 84 166 0 29 Dec 2014
High-performance Kernel Machines with Implicit Distributed Optimization and Randomization Vikas Sindhwani H. Avron 54 23 0 03 Sep 2014
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 329 7,923 0 13 Jun 2012