On Safety in Safe Bayesian Optimization

On Safety in Safe Bayesian Optimization

19 March 2024

Christian Fiedler

Lukas Kreisköther

Sebastian Trimpe

Papers citing "On Safety in Safe Bayesian Optimization"

17 / 17 papers shown

Title
Towards safe Bayesian optimization with Wiener kernel regression O. Molodchyk Johannes Teutsch T. Faulwasser 40 1 0 04 Nov 2024
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes Markus Lange-Hegermann Christoph Zimmer AI4TS 89 0 0 17 May 2024
Automatic nonlinear MPC approximation with closed-loop guarantees Abdullah Tokmak Christian Fiedler Melanie Zeilinger Sebastian Trimpe Johannes Köhler 34 4 0 15 Dec 2023
On kernel-based statistical learning in the mean field limit Christian Fiedler Michael Herty Sebastian Trimpe 48 1 0 27 Oct 2023
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning Lukas Brunke Melissa Greeff Adam W. Hall Zhaocong Yuan Siqi Zhou Jacopo Panerati Angela P. Schoellig OffRL 52 616 0 13 Aug 2021
GoSafe: Globally Optimal Safe Robot Learning Dominik Baumann A. Marco M. Turchetta Sebastian Trimpe 45 37 0 27 May 2021
Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression Christian Fiedler C. Scherer Sebastian Trimpe GP 43 68 0 06 May 2021
Safe Learning and Optimization Techniques: Towards a Survey of the State of the Art Youngmin Kim Richard Allmendinger Manuel López-Ibánez OffRL 380 27 0 23 Jan 2021
Robot Learning with Crash Constraints A. Marco Dominik Baumann Majid Khadiv Philipp Hennig Ludovic Righetti Sebastian Trimpe 41 29 0 16 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 55 39 0 29 Jan 2020
Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness George Wynne F. Briol Mark Girolami 47 56 0 29 Jan 2020
Convergence of Gaussian Process Regression with Estimated Hyper-parameters and Applications in Bayesian Inverse Problems A. Teckentrup 27 66 0 31 Aug 2019
Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces Johannes Kirschner Mojmír Mutný N. Hiller R. Ischebeck Andreas Krause 58 149 0 08 Feb 2019
Global optimization of Lipschitz functions C. Malherbe Nicolas Vayatis 46 119 0 07 Mar 2017
Safe Exploration in Finite Markov Decision Processes with Gaussian Processes M. Turchetta Felix Berkenkamp Andreas Krause 69 188 0 15 Jun 2016
Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics Felix Berkenkamp Andreas Krause Angela P. Schoellig 126 283 0 14 Feb 2016
Bandits and Experts in Metric Spaces Robert D. Kleinberg Aleksandrs Slivkins E. Upfal 142 125 0 04 Dec 2013