On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis

28 January 2019

Papers citing "On Random Subsampling of Gaussian Process Regression: A Graphon-Based Analysis"

7 / 7 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 71 156 0 26 Apr 2018
Constant-Time Predictive Distributions for Gaussian Processes Geoff Pleiss Jacob R. Gardner Kilian Q. Weinberger A. Wilson 57 96 0 16 Mar 2018
Optimal Rates for Random Fourier Features Bharath K. Sriperumbudur Z. Szabó 95 130 0 06 Jun 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 75 515 0 03 Mar 2015
Supremum Norm Posterior Contraction and Credible Sets for Nonparametric Multivariate Regression W. Yoo S. Ghosal 66 87 0 25 Nov 2014
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 110 1,237 0 26 Sep 2013
Revisiting the Nystrom Method for Improved Large-Scale Machine Learning Alex Gittens Michael W. Mahoney 120 416 0 07 Mar 2013