Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control

13 January 2021

Papers citing "Uniform Error and Posterior Variance Bounds for Gaussian Process Regression with Application to Safe Control"

8 / 8 papers shown

Title
Quantifying Local Model Validity using Active Learning Sven Lämmle Can Bogoclu Robert Voßhall Anselm Haselhoff Dirk Roos 75 0 0 11 Jun 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning Jörn Tebbe Christoph Zimmer A. Steland Markus Lange-Hegermann Fabian Mies GP 84 3 0 28 Feb 2024
Modeling and Predicting Epidemic Spread: A Gaussian Process Regression Approach B. She Lei Xin Philip E. Paré Matthew T. Hale 33 0 0 14 Dec 2023
$Toward $L_\infty$-recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields$ Toward $L_\infty$ -recovery of Nonlinear Functions: A Polynomial Sample Complexity Bound for Gaussian Random Fields Kefan Dong Tengyu Ma 88 4 0 29 Apr 2023
Stochastic Cell Transmission Models of Traffic Networks Zachary Feinstein M. Kleiber Stefan Weber 46 1 0 23 Apr 2023
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao Tairan He Changliu Liu 87 21 0 03 Oct 2022
Distributionally robust risk map for learning-based motion planning and control: A semidefinite programming approach A. Hakobyan Insoon Yang 167 25 0 03 May 2021
Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations Wei W. Xing A. Shah Peng Wang Shandian Zhe Robert M. Kirby 61 12 0 08 Apr 2021