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On Safety in Safe Bayesian Optimization
; ; ;
2024
This research was in part funded by German Federal Ministry for Economic Affairs and Climate Action (BMWK) through the project EEMotion
Online
DOI: 10.48550/arXiv.2403.12948
Einrichtungen
Projekte
- HDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612) (HDS-LEE-20190612)
- Doktorandenprogramm (PHD-PROGRAM-20170404) (PHD-PROGRAM-20170404)
- DFG project G:(GEPRIS)390621612 - EXC 2023: Internet of Production (IoP) (390621612) (390621612)
- BMWK 19A21038D - Verbundprojekt: EEmotion - Embedded Excellence - Fahrdynamik mit KI; Teilvorhaben: KI-Methoden, KI-basierte Regelung, Sicherheitsgarantien, Erklärbarkeit (19A21038D) (19A21038D)
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Fulltext by arXiv.org
Dokumenttyp
Preprint
Format
online
Sprache
English
Externe Identnummern
arXiv: arXiv:2403.12948
OpenAlex: W4393027749
Interne Identnummern
RWTH-2025-02280
Datensatz-ID: 1006149
Beteiligte Länder
Germany
Related:
Journal Article
On Safety in Safe Bayesian Optimization
Transactions on machine learning research 2024(9), 1-28 (2024)
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Fulltext by arXiv.org