Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process
Regression with Matérn Correlations

Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations

7 March 2022

Liang Ding

Papers citing "Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations"

10 / 10 papers shown

Title
Linear cost and exponentially convergent approximation of Gaussian Matérn processes on intervals David Bolin Vaibhav Mehandiratta Alexandre B. Simas 24 1 0 16 Oct 2024
Aggregation Models with Optimal Weights for Distributed Gaussian Processes Liam Hebert Sukhdeep S. Sodhi 29 0 0 01 Aug 2024
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner Haoyuan Chen Rui Tuo 45 0 0 01 Aug 2024
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression Lu Zou Liang Ding 44 0 0 20 Mar 2024
A General Theory for Kernel Packets: from state space model to compactly supported basis Liang Ding Rui Tuo 19 1 0 06 Feb 2024
Privacy-aware Gaussian Process Regression Rui Tuo R. Bhattacharya 14 1 0 25 May 2023
Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding Tianyang Hu Jiahan Jiang Donghao Li Wei Cao Yuan Yao 35 6 0 05 May 2023
Representing Additive Gaussian Processes by Sparse Matrices Lu Zou Haoyuan Chen Liang Ding 28 0 0 29 Apr 2023
Projection Pursuit Gaussian Process Regression Gecheng Chen Rui Tuo GP 14 13 0 01 Apr 2020
Local Gaussian process approximation for large computer experiments R. Gramacy D. Apley 129 392 0 02 Mar 2013