High-dimensional Bayesian optimization with projections using quantile Gaussian processes
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1862-4480
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
High-dimensional Bayesian optimization with projections using quantile Gaussian processes ; day:21 ; month:5 ; year:2019 ; pages:1-14
Optimization letters ; (21.5.2019), 1-14
- Urheber
-
Moriconi, Riccardo
Kumar, K. S. Sesh
Deisenroth, Marc Peter
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11590-019-01433-w
- URN
-
urn:nbn:de:101:1-2019102210522729339657
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:20 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Moriconi, Riccardo
- Kumar, K. S. Sesh
- Deisenroth, Marc Peter
- SpringerLink (Online service)
Ähnliche Objekte (12)
Bayesian quantile regression
Bayesian quantile regression
Bayesian joint quantile autoregression
Facets of High-Dimensional Gaussian Polytopes
Local projections for high-dimensional outlier detection
Bayesian semiparametric additive quantile regression
Bayesian dynamic quantile model averaging
Random projections for Bayesian regression
Random projections for Bayesian regression
Using Projections to Visually Cluster High-Dimensional Data
Uniform inference in high-dimensional gaussian graphical models
L1-Penalised quantile regression in high-dimensional sparse models
Bayesian quantile regression
Bayesian quantile regression
Bayesian joint quantile autoregression
Facets of High-Dimensional Gaussian Polytopes
Local projections for high-dimensional outlier detection
Bayesian semiparametric additive quantile regression
Bayesian dynamic quantile model averaging
Random projections for Bayesian regression
Random projections for Bayesian regression
Using Projections to Visually Cluster High-Dimensional Data
Uniform inference in high-dimensional gaussian graphical models
L1-Penalised quantile regression in high-dimensional sparse models
Bayesian quantile regression
Bayesian quantile regression
Bayesian joint quantile autoregression
Facets of High-Dimensional Gaussian Polytopes
Local projections for high-dimensional outlier detection
Bayesian semiparametric additive quantile regression
Bayesian dynamic quantile model averaging
Random projections for Bayesian regression
Random projections for Bayesian regression
Using Projections to Visually Cluster High-Dimensional Data
Uniform inference in high-dimensional gaussian graphical models