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A Bayesian approach to constrained single- and multi-objective
  optimization

A Bayesian approach to constrained single- and multi-objective optimization

2 October 2015
Paul Feliot
Julien Bect
E. Vázquez
ArXivPDFHTML

Papers citing "A Bayesian approach to constrained single- and multi-objective optimization"

14 / 14 papers shown
Title
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
Zhuo Yang
Lingli Ge
Dong Han
Tianfan Fu
Yuqiang Li
22
0
0
19 May 2025
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design
Regularized infill criteria for multi-objective Bayesian optimization with application to aircraft design
Robin Grapin
Y. Diouane
J. Morlier
N. Bartoli
T. Lefebvre
P. Saves
J. Bussemaker
26
8
0
11 Apr 2025
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Constrained Multi-objective Bayesian Optimization through Optimistic Constraints Estimation
Diantong Li
Fengxue Zhang
Chong Liu
Yuxin Chen
191
0
0
06 Nov 2024
Bayesian multi-objective optimization for stochastic simulators: an
  extension of the Pareto Active Learning method
Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method
Bruno Barracosa
Julien Bect
H. Baraffe
J. Morin
Josselin Fournel
E. Vázquez
35
2
0
08 Jul 2022
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization
S. Petit
Julien Bect
E. Vázquez
41
1
0
07 Jun 2022
Fair and Green Hyperparameter Optimization via Multi-objective and
  Multiple Information Source Bayesian Optimization
Fair and Green Hyperparameter Optimization via Multi-objective and Multiple Information Source Bayesian Optimization
Antonio Candelieri
Andrea Ponti
Francesco Archetti
33
16
0
18 May 2022
A survey on multi-objective hyperparameter optimization algorithms for
  Machine Learning
A survey on multi-objective hyperparameter optimization algorithms for Machine Learning
A. Hernández
I. Nieuwenhuyse
Sebastian Rojas Gonzalez
23
95
0
23 Nov 2021
Revisiting Bayesian Optimization in the light of the COCO benchmark
Revisiting Bayesian Optimization in the light of the COCO benchmark
Rodolphe Le Riche
Victor Picheny
19
26
0
30 Mar 2021
Max-value Entropy Search for Multi-Objective Bayesian Optimization with
  Constraints
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
Syrine Belakaria
Aryan Deshwal
J. Doppa
30
131
0
01 Sep 2020
Differentiable Expected Hypervolume Improvement for Parallel
  Multi-Objective Bayesian Optimization
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Sam Daulton
Maximilian Balandat
E. Bakshy
11
236
0
09 Jun 2020
Parallel Predictive Entropy Search for Multi-objective Bayesian
  Optimization with Constraints
Parallel Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
E.C. Garrido-Merchán
Daniel Hernández-Lobato
30
16
0
01 Apr 2020
Polystore++: Accelerated Polystore System for Heterogeneous Workloads
Polystore++: Accelerated Polystore System for Heterogeneous Workloads
Rekha Singhal
Nathan Zhang
Luigi Nardi
M. Shahbaz
K. Olukotun
11
8
0
24 May 2019
Practical Design Space Exploration
Practical Design Space Exploration
Luigi Nardi
D. Koeplinger
K. Olukotun
16
86
0
11 Oct 2018
A supermartingale approach to Gaussian process based sequential design
  of experiments
A supermartingale approach to Gaussian process based sequential design of experiments
Julien Bect
François Bachoc
D. Ginsbourger
34
77
0
03 Aug 2016
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