A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes

18 September 2023

Papers citing "A Unifying Perspective on Non-Stationary Kernels for Deeper Gaussian Processes"

8 / 8 papers shown

Title
SEEK: Self-adaptive Explainable Kernel For Nonstationary Gaussian Processes Nima Negarandeh Carlos Mora Ramin Bostanabad 55 0 0 18 Mar 2025
Kernel-based estimators for functional causal effects Yordan P. Raykov Hengrui Luo Justin Strait Wasiur R. KhudaBukhsh CML 50 0 0 06 Mar 2025
Compactly-supported nonstationary kernels for computing exact Gaussian processes on big data M. Risser M. Noack Hengrui Luo Ronald Pandolfi GP 33 0 0 07 Nov 2024
Gaussian process regression with log-linear scaling for common non-stationary kernels P. M. Kielstra Michael Lindsey GP 54 1 0 04 Jul 2024
A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures Gargi Roy Dalia Chakrabarty 22 0 0 18 Apr 2024
Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels M. Noack Harinarayan Krishnan M. Risser Kristofer G. Reyes GP 71 16 0 18 May 2022
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 127 391 0 02 Mar 2013
Estimating deformations of isotropic Gaussian random fields on the plane E. Anderes Michael L. Stein 185 91 0 04 Apr 2008