Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo

Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo

18 August 2015

Markus Heinonen

Henrik Mannerstrom

Harri Lähdesmäki

Papers citing "Non-Stationary Gaussian Process Regression with Hamiltonian Monte Carlo"

12 / 12 papers shown

Title
Improving Random Forests by Smoothing Ziyi Liu Phuc Luong Mario Boley Daniel F. Schmidt UQCV 37 0 0 11 May 2025
Non-stationary and Sparsely-correlated Multi-output Gaussian Process with Spike-and-Slab Prior Wang Xinming Li Yongxiang Yue Xiaowei Wu Jianguo 24 0 0 05 Sep 2024
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 27 75 0 07 May 2023
Bayesian Optimization with Informative Covariance Afonso Eduardo Michael U. Gutmann 19 3 0 04 Aug 2022
Efficient Transformed Gaussian Processes for Non-Stationary Dependent Multi-class Classification Juan Maroñas Daniel Hernández-Lobato 17 6 0 30 May 2022
Accurate Remaining Useful Life Prediction with Uncertainty Quantification: a Deep Learning and Nonstationary Gaussian Process Approach Zhaoyi Xu Yanjie Guo J. Saleh 17 25 0 23 Sep 2021
Deep State-Space Gaussian Processes Zheng Zhao M. Emzir Simo Särkkä GP 30 19 0 11 Aug 2020
Global inducing point variational posteriors for Bayesian neural networks and deep Gaussian processes Sebastian W. Ober Laurence Aitchison BDL 13 60 0 17 May 2020
Neural Non-Stationary Spectral Kernel Sami Remes Markus Heinonen Samuel Kaski BDL 14 9 0 27 Nov 2018
Posterior Inference for Sparse Hierarchical Non-stationary Models K. Monterrubio-Gómez L. Roininen S. Wade Theo Damoulas Mark Girolami 19 26 0 04 Apr 2018
Deep Gaussian Covariance Network K. Cremanns D. Roos BDL 16 20 0 17 Oct 2017
Estimating deformations of isotropic Gaussian random fields on the plane E. Anderes Michael L. Stein 165 91 0 04 Apr 2008