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. 1811.03862
  4. Cited By
Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential
  and Batch Versions
v1v2v3v4v5 (latest)

Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions

9 November 2018
David Gaudrie
Rodolphe Le Riche
Victor Picheny
B. Enaux
V. Herbert
ArXiv (abs)PDFHTML

Papers citing "Targeting Solutions in Bayesian Multi-Objective Optimization: Sequential and Batch Versions"

4 / 4 papers shown
Title
Budgeted Multi-Objective Optimization with a Focus on the Central Part
  of the Pareto Front -- Extended Version
Budgeted Multi-Objective Optimization with a Focus on the Central Part of the Pareto Front -- Extended Version
David Gaudrie
Rodolphe Le Riche
Victor Picheny
B. Enaux
V. Herbert
28
12
0
27 Sep 2018
User preferences in Bayesian multi-objective optimization: the expected
  weighted hypervolume improvement criterion
User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterion
Paul Feliot
Julien Bect
E. Vázquez
25
15
0
14 Sep 2018
Efficient batch-sequential Bayesian optimization with moments of
  truncated Gaussian vectors
Efficient batch-sequential Bayesian optimization with moments of truncated Gaussian vectors
Sébastien Marmin
C. Chevalier
D. Ginsbourger
38
13
0
09 Sep 2016
Differentiating the multipoint Expected Improvement for optimal batch
  design
Differentiating the multipoint Expected Improvement for optimal batch design
Sébastien Marmin
C. Chevalier
D. Ginsbourger
52
52
0
18 Mar 2015
1