Scaling Gaussian Process Regression with Derivatives

29 October 2018

Papers citing "Scaling Gaussian Process Regression with Derivatives"

8 / 8 papers shown

Title
Product Kernel Interpolation for Scalable Gaussian Processes Jacob R. Gardner Geoff Pleiss Ruihan Wu Kilian Q. Weinberger A. Wilson 54 72 0 24 Feb 2018
Scalable Log Determinants for Gaussian Process Kernel Learning Kun Dong David Eriksson H. Nickisch D. Bindel A. Wilson 46 94 0 09 Nov 2017
Bayesian Optimization with Gradients Jian Wu Matthias Poloczek A. Wilson P. Frazier 53 210 0 13 Mar 2017
Preconditioning Kernel Matrices Kurt Cutajar Michael A. Osborne John P. Cunningham Maurizio Filippone 58 73 0 22 Feb 2016
The Human Kernel A. Wilson Christoph Dann Christopher G. Lucas Eric Xing GP SyDa 40 67 0 26 Oct 2015
Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions Insu Han Dmitry Malioutov Jinwoo Shin 48 95 0 22 Mar 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 61 512 0 03 Mar 2015
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 96 1,226 0 26 Sep 2013