Scalable Log Determinants for Gaussian Process Kernel Learning

9 November 2017

Papers citing "Scalable Log Determinants for Gaussian Process Kernel Learning"

8 / 58 papers shown

Title
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 136 697 0 03 Jul 2018
Accurate Kernel Learning for Linear Gaussian Markov Processes using a Scalable Likelihood Computation S. Waele 17 1 0 18 May 2018
Constant-Time Predictive Distributions for Gaussian Processes Geoff Pleiss Jacob R. Gardner Kilian Q. Weinberger A. Wilson 67 96 0 16 Mar 2018
Product Kernel Interpolation for Scalable Gaussian Processes Jacob R. Gardner Geoff Pleiss Ruihan Wu Kilian Q. Weinberger A. Wilson 80 74 0 24 Feb 2018
VBALD - Variational Bayesian Approximation of Log Determinants Diego Granziol E. Wagstaff Binxin Ru Michael A. Osborne Stephen J. Roberts 29 2 0 21 Feb 2018
Stochastic Chebyshev Gradient Descent for Spectral Optimization Insu Han H. Avron Jinwoo Shin 67 11 0 18 Feb 2018
Algorithmic Linearly Constrained Gaussian Processes Markus Lange-Hegermann 87 35 0 28 Jan 2018
Generic Inference in Latent Gaussian Process Models Edwin V. Bonilla K. Krauth Amir Dezfouli BDL 64 28 0 02 Sep 2016