h1

001006160 001__ 1006160
001006160 005__ 20250815115713.0
001006160 0247_ $$2DOI$$a10.48550/ARXIV.2501.13697
001006160 0247_ $$2arXiv$$aarXiv:2501.13697
001006160 037__ $$aRWTH-2025-02291
001006160 041__ $$aEnglish
001006160 1001_ $$0P:(DE-82)IDM04643$$aFiedler, Christian Martin$$b0$$urwth
001006160 245__ $$aSafety in safe Bayesian optimization and its ramifications for control$$honline
001006160 260__ $$c2025
001006160 3367_ $$028$$2EndNote$$aElectronic Article
001006160 3367_ $$0PUB:(DE-HGF)25$$2PUB:(DE-HGF)$$aPreprint$$bpreprint$$mpreprint$$s1741628789_2271193
001006160 3367_ $$2BibTeX$$aARTICLE
001006160 3367_ $$2DRIVER$$apreprint
001006160 3367_ $$2DataCite$$aOutput Types/Working Paper
001006160 3367_ $$2ORCID$$aWORKING_PAPER
001006160 536__ $$0G:(DE-Juel1)HDS-LEE-20190612$$aHDS LEE - Helmholtz School for Data Science in Life, Earth and Energy (HDS LEE) (HDS-LEE-20190612)$$cHDS-LEE-20190612$$x0
001006160 536__ $$0G:(DE-HGF)PHD-PROGRAM-20170404$$aDoktorandenprogramm (PHD-PROGRAM-20170404)$$cPHD-PROGRAM-20170404$$x1
001006160 588__ $$aDataset connected to arXivarXiv
001006160 591__ $$aGermany
001006160 653_7 $$aBayesian Optimization; Safe Learning
001006160 7001_ $$0P:(DE-82)IDM06707$$aMenn, Johanna$$b1$$urwth
001006160 7001_ $$0P:(DE-82)IDM03985$$aTrimpe, Johann Sebastian$$b2$$urwth
001006160 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM04643$$aRWTH Aachen$$b0$$kRWTH
001006160 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM06707$$aRWTH Aachen$$b1$$kRWTH
001006160 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM03985$$aRWTH Aachen$$b2$$kRWTH
001006160 9141_ $$y2025
001006160 9201_ $$0I:(DE-82)422610_20200514$$k422610$$lLehrstuhl für Data Science im Maschinenbau$$x0
001006160 9201_ $$0I:(DE-82)120000_20140620$$k120000$$lFachgruppe Informatik$$x1
001006160 961__ $$c2025-03-10T18:46:42.237759$$x2025-03-10T17:54:20.435336$$z2025-03-11
001006160 980__ $$aI:(DE-82)120000_20140620
001006160 980__ $$aI:(DE-82)422610_20200514
001006160 980__ $$aUNRESTRICTED
001006160 980__ $$aVDBINPRINT
001006160 980__ $$apreprint