On the Improved Rates of Convergence for Matérn-type Kernel Ridge Regression, with Application to Calibration of Computer Models

1 January 2020

Papers citing "On the Improved Rates of Convergence for Matérn-type Kernel Ridge Regression, with Application to Calibration of Computer Models"

13 / 13 papers shown

Title
Highly Adaptive Ridge Alejandro Schuler Alexander Hagemeister Mark van der Laan 236 0 0 03 Oct 2024
Sobolev Calibration of Imperfect Computer Models Qingwen Zhang Wenjia Wang 23 0 0 31 Mar 2024
Asymptotic Theory for Linear Functionals of Kernel Ridge Regression Rui Tuo Lu Zou 55 0 0 07 Mar 2024
Random Smoothing Regularization in Kernel Gradient Descent Learning Liang Ding Tianyang Hu Jiahan Jiang Donghao Li Wei Cao Yuan Yao 70 6 0 05 May 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
Asymptotic Bounds for Smoothness Parameter Estimates in Gaussian Process Interpolation Toni Karvonen 81 3 0 10 Mar 2022
Smooth Nested Simulation: Bridging Cubic and Square Root Convergence Rates in High Dimensions Wei Cao Yanyuan Wang Xiaowei Zhang 21 5 0 09 Jan 2022
Estimation of the Scale Parameter for a Misspecified Gaussian Process Model Toni Karvonen 59 4 0 06 Oct 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
Fast Statistical Leverage Score Approximation in Kernel Ridge Regression Yifan Chen Yun Yang 66 16 0 09 Mar 2021
Accumulations of Projections--A Unified Framework for Random Sketches in Kernel Ridge Regression Yifan Chen Yun Yang 54 13 0 06 Mar 2021
Sample and Computationally Efficient Stochastic Kriging in High Dimensions Liang Ding Xiaowei Zhang 26 6 0 14 Oct 2020
Maximum likelihood estimation and uncertainty quantification for Gaussian process approximation of deterministic functions Toni Karvonen George Wynne Filip Tronarp Chris J. Oates Simo Särkkä 113 39 0 29 Jan 2020