Kriging prediction with isotropic Matérn correlations: Robustness and
experimental design

v1v2v3v4 (latest)

Kriging prediction with isotropic Matérn correlations: Robustness and experimental design

13 November 2019

ArXiv (abs)PDF HTML

Papers citing "Kriging prediction with isotropic Matérn correlations: Robustness and experimental design"

16 / 16 papers shown

Title
Gaussian Processes Sampling with Sparse Grids under Additive Schwarz Preconditioner Haoyuan Chen Rui Tuo 67 0 0 01 Aug 2024
Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration Hwanwoo Kim D. Sanz-Alonso 79 3 0 30 Jan 2024
Gaussian Process Regression under Computational and Epistemic Misspecification D. Sanz-Alonso Ruiyi Yang 60 1 0 14 Dec 2023
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency Sudeep Salgia Sattar Vakili Qing Zhao 55 10 0 23 Oct 2023
Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters Mingzhou Yin Roy S. Smith 54 0 0 17 Mar 2023
The Matérn Model: A Journey through Statistics, Numerical Analysis and Machine Learning Emilio Porcu M. Bevilacqua R. Schaback Chris J. Oates 63 16 0 05 Mar 2023
Kernel Packet: An Exact and Scalable Algorithm for Gaussian Process Regression with Matérn Correlations Hao Chen Liang Ding Rui Tuo 55 12 0 07 Mar 2022
Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions Wei Cao Yanyuan Wang Xiaowei Zhang 19 5 0 09 Jan 2022
Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications A. Capone Armin Lederer Sandra Hirche 61 21 0 06 Sep 2021
Parameter selection in Gaussian process interpolation: an empirical study of selection criteria S. Petit Julien Bect Paul Feliot E. Vázquez 62 11 0 13 Jul 2021
Convergence of Gaussian process regression: Optimality, robustness, and relationship with kernel ridge regression Wei Cao Bing-Yi Jing 55 6 0 20 Apr 2021
Sample and Computationally Efficient Stochastic Kriging in High Dimensions Liang Ding Xiaowei Zhang 24 6 0 14 Oct 2020
Projection Pursuit Gaussian Process Regression Gecheng Chen Rui Tuo GP 62 13 0 01 Apr 2020
On the Inference of Applying Gaussian Process Modeling to a Deterministic Function Wei Cao 88 19 0 04 Feb 2020
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness George Wynne F. Briol Mark Girolami 87 56 0 29 Jan 2020
The Renyi Gaussian Process: Towards Improved Generalization Xubo Yue Raed Al Kontar 134 3 0 15 Oct 2019