BayeSQP: Bayesian Optimization through Sequential Quadratic Programming

Brunzema, Paul Jakob; Trimpe, Johann Sebastian

doi:10.18154/RWTH-2026-02420

BayeSQP: Bayesian Optimization through Sequential Quadratic Programming

Brunzema, Paul Jakob (Corresponding author)^RWTH* ; Trimpe, Johann Sebastian (Corresponding author)^RWTH*

2026

Konferenz/Event:39. Neural Information Processing Systems , San Diego, CA , USA , NeurIPS 2025 , 2025-12-01 - 2025-12-01

Umfang21 Seiten

Online
DOI: 10.48550/arXiv.2602.03232
10.48550/arXiv.2602.03232
DOI: 10.18154/RWTH-2026-02420
URL: https://publications.rwth-aachen.de/record/1029586/files/1029586.pdf

Einrichtungen

Projekte

GRK 2236 - GRK 2236: Unsicherheit und Randomisierung in Algorithmen, Verifikation und Logik. (282652900) (282652900)

OpenAccess:
PDF
Externer link:
Fulltext by arXiv.org

Dokumenttyp
Preprint

Format
online

Sprache
English

Externe Identnummern
arXiv: arXiv:2602.03232

Interne Identnummern
RWTH-2026-02420
Datensatz-ID: 1029586

Beteiligte Länder
Germany

Related:

Contribution to a conference proceedings Brunzema, P. J. (Corresponding author)RWTH* ; Trimpe, J. S. (Corresponding author)RWTH*
BayeSQP: Bayesian Optimization through Sequential Quadratic Programming
2025The Thirty-ninth Annual Conference on Neural Information Processing Systems : NeurIPS 2025 : San Diego, USA, Dec 01 2025
39. Neural Information Processing Systems, NeurIPS 2025, San Diego, CASan Diego, CA, USA, 1 Dec 2025 - 1 Dec 20252025-12-012025-12-01 [1]-28 (2025)2025 Fulltext BibTeX | EndNote: XML, Text | RIS