Bayesian multi-objective optimization with noisy evaluations using the Knowledge Gradient - Archive ouverte HAL Access content directly
Conference Papers Year :

Bayesian multi-objective optimization with noisy evaluations using the Knowledge Gradient

Domains

Mathematics [math] Optimization and Control [math.OC] Computer Science [cs] Operations Research [cs.RO]
Fichier principal
Vignette du fichier
bbarracosa-pgmo2019-abstract.pdf (53.92 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Julien Bect  : Connect in order to contact the contributor

https://hal-centralesupelec.archives-ouvertes.fr/hal-02475345

Submitted on : Tuesday, February 11, 2020-11:17:25 PM

Last modification on : Thursday, March 9, 2023-10:30:16 AM

Download

Dates and versions

hal-02475345 , version 1 (11-02-2020)

Licence

Attribution - NonCommercial - NoDerivatives - CC BY 4.0

Identifiers

  • HAL Id : hal-02475345 , version 1

Cite

Bruno Barracosa, Julien Bect, Héloïse Baraffe, Juliette Morin, Gilles Malarange, et al.. Bayesian multi-objective optimization with noisy evaluations using the Knowledge Gradient. PGMO Days 2019, Dec 2019, Palaiseau, France. ⟨hal-02475345⟩

Export

BibTeX TEI Dublin Core DC Terms EndNote Datacite

Collections

CNRS SUP_LSS INSMI SUP_SIGNAUX CENTRALESUPELEC TDS-MACS UNIV-PARIS-SACLAY EDF GS-ENGINEERING GS-COMPUTER-SCIENCE
154 View
131 Download

Share

Gmail Facebook Twitter LinkedIn More