ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2111.01533
  4. Cited By
A comparison of mixed-variables Bayesian optimization approaches

A comparison of mixed-variables Bayesian optimization approaches

30 October 2021
Jhouben Cuesta Ramirez
Rodolphe Le Riche
O. Roustant
G. Perrin
Cédric Durantin
A. Glière
ArXivPDFHTML

Papers citing "A comparison of mixed-variables Bayesian optimization approaches"

5 / 5 papers shown
Title
High-dimensional mixed-categorical Gaussian processes with application
  to multidisciplinary design optimization for a green aircraft
High-dimensional mixed-categorical Gaussian processes with application to multidisciplinary design optimization for a green aircraft
P. Saves
Y. Diouane
N. Bartoli
T. Lefebvre
J. Morlier
17
5
0
10 Nov 2023
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and
  Mixed Variables Gaussian Processes
SMT 2.0: A Surrogate Modeling Toolbox with a focus on Hierarchical and Mixed Variables Gaussian Processes
P. Saves
R. Lafage
N. Bartoli
Y. Diouane
J. Bussemaker
T. Lefebvre
John T. Hwang
J. Morlier
J. Martins
MoE
11
61
0
23 May 2023
Mastering the exploration-exploitation trade-off in Bayesian
  Optimization
Mastering the exploration-exploitation trade-off in Bayesian Optimization
Antonio Candelieri
26
1
0
15 May 2023
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
BaCO: A Fast and Portable Bayesian Compiler Optimization Framework
E. Hellsten
Artur L. F. Souza
Johannes Lenfers
Rubens Lacouture
Olivia Hsu
Adel Ejjeh
Fredrik Kjolstad
Michel Steuwer
K. Olukotun
Luigi Nardi
32
16
0
01 Dec 2022
A mixed-categorical correlation kernel for Gaussian process
A mixed-categorical correlation kernel for Gaussian process
P. Saves
Y. Diouane
N. Bartoli
T. Lefebvre
J. Morlier
GP
16
18
0
15 Nov 2022
1