Approximate Inference for Nonstationary Heteroscedastic Gaussian process Regression

22 April 2014

Papers citing "Approximate Inference for Nonstationary Heteroscedastic Gaussian process Regression"

7 / 7 papers shown

Title
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees William J. Wilkinson Simo Särkkä Arno Solin BDL 21 15 0 02 Nov 2021
Deep State-Space Gaussian Processes Zheng Zhao M. Emzir Simo Särkkä GP 32 19 0 11 Aug 2020
Neural Non-Stationary Spectral Kernel Sami Remes Markus Heinonen Samuel Kaski BDL 16 9 0 27 Nov 2018
Gaussian process classification using posterior linearisation Á. F. García-Fernández Filip Tronarp Simo Särkkä 14 11 0 13 Sep 2018
Deep Gaussian Covariance Network K. Cremanns D. Roos BDL 21 20 0 17 Oct 2017
Chained Gaussian Processes Alan D. Saul J. Hensman Aki Vehtari Neil D. Lawrence 16 59 0 18 Apr 2016
Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo Markus Heinonen Henrik Mannerstrom Juho Rousu Samuel Kaski Harri Lähdesmäki 22 102 0 18 Aug 2015