Sample and Computationally Efficient Stochastic Kriging in High Dimensions

14 October 2020

Liang Ding

Papers citing "Sample and Computationally Efficient Stochastic Kriging in High Dimensions"

4 / 4 papers shown

Title
Sensitivity Analysis on Policy-Augmented Graphical Hybrid Models with Shapley Value Estimation Junkai Zhao Wei Xie Jun Luo 101 0 0 20 Nov 2024
Kernel Multigrid: Accelerate Back-fitting via Sparse Gaussian Process Regression Lu Zou Liang Ding 91 0 0 20 Mar 2024
Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding Tianyang Hu Jiahan Jiang Donghao Li Wei Cao Yuan Yao 64 6 0 05 May 2023
Representing Additive Gaussian Processes by Sparse Matrices Lu Zou Haoyuan Chen Liang Ding 46 0 0 29 Apr 2023