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Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for
  Safety-Critical Applications

Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications

6 September 2021
A. Capone
Armin Lederer
Sandra Hirche
ArXivPDFHTML

Papers citing "Gaussian Process Uniform Error Bounds with Unknown Hyperparameters for Safety-Critical Applications"

13 / 13 papers shown
Title
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds
  Logarithmically Closer to Optimal
Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal
Juliusz Ziomek
Masaki Adachi
Michael A. Osborne
37
1
0
14 Oct 2024
Lifted Coefficient of Determination: Fast model-free prediction
  intervals and likelihood-free model comparison
Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparison
Daniel Salnikov
Kevin Michalewicz
Dan Leonte
OOD
31
0
0
11 Oct 2024
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model
  Predictive Control
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control
Sebastian Hirt
Maik Pfefferkorn
R. Findeisen
31
3
0
16 Sep 2024
Multi-fidelity Gaussian process surrogate modeling for regression
  problems in physics
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics
Kislaya Ravi
Vladyslav Fediukov
Felix Dietrich
T. Neckel
Fabian Buse
Michael Bergmann
H. Bungartz
AI4CE
39
6
0
18 Apr 2024
Towards Safe Multi-Task Bayesian Optimization
Towards Safe Multi-Task Bayesian Optimization
Jannis O. Lübsen
Christian Hespe
Annika Eichler
26
3
0
12 Dec 2023
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety
  Filters in Uncertain Robotic Systems
Constraint-Guided Online Data Selection for Scalable Data-Driven Safety Filters in Uncertain Robotic Systems
Jason J. Choi
F. Castañeda
Wonsuhk Jung
Bike Zhang
Claire J. Tomlin
K. Sreenath
35
3
0
23 Nov 2023
Guaranteed Coverage Prediction Intervals with Gaussian Process
  Regression
Guaranteed Coverage Prediction Intervals with Gaussian Process Regression
Harris Papadopoulos
29
11
0
24 Oct 2023
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking
  Errors
Episodic Gaussian Process-Based Learning Control with Vanishing Tracking Errors
Armin Lederer
Jonas Umlauft
Sandra Hirche
37
0
0
10 Jul 2023
Can Learning Deteriorate Control? Analyzing Computational Delays in
  Gaussian Process-Based Event-Triggered Online Learning
Can Learning Deteriorate Control? Analyzing Computational Delays in Gaussian Process-Based Event-Triggered Online Learning
X. Dai
Armin Lederer
Zewen Yang
Sandra Hirche
35
13
0
14 May 2023
Error Bounds for Kernel-Based Linear System Identification with Unknown
  Hyperparameters
Error Bounds for Kernel-Based Linear System Identification with Unknown Hyperparameters
Mingzhou Yin
Roy S. Smith
28
0
0
17 Mar 2023
Sharp Calibrated Gaussian Processes
Sharp Calibrated Gaussian Processes
A. Capone
Geoff Pleiss
Sandra Hirche
UQCV
42
4
0
23 Feb 2023
Structure-Preserving Learning Using Gaussian Processes and Variational
  Integrators
Structure-Preserving Learning Using Gaussian Processes and Variational Integrators
Jan Brüdigam
Martin Schuck
A. Capone
Stefan Sosnowski
Sandra Hirche
11
4
0
10 Dec 2021
Personalized Rehabilitation Robotics based on Online Learning Control
Personalized Rehabilitation Robotics based on Online Learning Control
Samuel Tesfazgi
Armin Lederer
Johannes F. Kunz
Alejandro Jose Ordóñez Conejo
Sandra Hirche
29
1
0
01 Oct 2021
1