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A Bayesian approach to constrained single- and multi-objective
  optimization
v1v2v3 (latest)

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

2 October 2015
Paul Feliot
Julien Bect
E. Vázquez
ArXiv (abs)PDFHTML

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

27 / 27 papers shown
Title
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
70
9
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
465
0
0
06 Nov 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization
Preference-Aware Constrained Multi-Objective Bayesian Optimization
Alaleh Ahmadianshalchi
Syrine Belakaria
J. Doppa
72
8
0
23 Mar 2023
Bi-objective Ranking and Selection Using Stochastic Kriging
Bi-objective Ranking and Selection Using Stochastic Kriging
Sebastian Rojas Gonzalez
Juergen Branke
I. Nieuwenhuyse
92
3
0
05 Sep 2022
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
54
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
124
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
63
18
0
18 May 2022
Leveraging Trust for Joint Multi-Objective and Multi-Fidelity
  Optimization
Leveraging Trust for Joint Multi-Objective and Multi-Fidelity Optimization
F. Irshad
S. Karsch
Andreas Döpp
93
8
0
27 Dec 2021
Constrained multi-objective optimization of process design parameters in
  settings with scarce data: an application to adhesive bonding
Constrained multi-objective optimization of process design parameters in settings with scarce data: an application to adhesive bonding
A. Hernández
Sebastian Rojas Gonzalez
I. Nieuwenhuyse
Ivo Couckuyt
Jeroen Jordens
M. Witters
Bart Van Doninck
49
0
0
16 Dec 2021
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
72
103
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
107
28
0
30 Mar 2021
Improved Max-value Entropy Search for Multi-objective Bayesian
  Optimization with Constraints
Improved Max-value Entropy Search for Multi-objective Bayesian Optimization with Constraints
Daniel Fernández-Sánchez
Eduardo C. Garrido-Merchán
Daniel Hernández-Lobato
64
31
0
02 Nov 2020
Multi-Objective Bayesian Optimisation and Joint Inversion for Active
  Sensor Fusion
Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion
S. Haan
F. Ramos
Dietmar Muller
21
4
0
12 Oct 2020
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
100
133
0
01 Sep 2020
Sequential design of multi-fidelity computer experiments: maximizing the
  rate of stepwise uncertainty reduction
Sequential design of multi-fidelity computer experiments: maximizing the rate of stepwise uncertainty reduction
Rémi Stroh
Julien Bect
S. Demeyer
N. Fischer
Damien Marquis
E. Vázquez
43
13
0
27 Jul 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
113
243
0
09 Jun 2020
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian
  Optimization with Application to Aircraft Design
Upper Trust Bound Feasibility Criterion for Mixed Constrained Bayesian Optimization with Application to Aircraft Design
R. Priem
N. Bartoli
Y. Diouane
A. Sgueglia
60
47
0
11 May 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
77
16
0
01 Apr 2020
Multi-Attribute Bayesian Optimization With Interactive Preference
  Learning
Multi-Attribute Bayesian Optimization With Interactive Preference Learning
Raul Astudillo
P. Frazier
82
33
0
14 Nov 2019
Polystore++: Accelerated Polystore System for Heterogeneous Workloads
Polystore++: Accelerated Polystore System for Heterogeneous Workloads
Rekha Singhal
Nathan Zhang
Luigi Nardi
M. Shahbaz
K. Olukotun
37
8
0
24 May 2019
Multi-objective Bayesian optimisation with preferences over objectives
Multi-objective Bayesian optimisation with preferences over objectives
Majid Abdolshah
A. Shilton
Santu Rana
Sunil R. Gupta
Svetha Venkatesh
73
47
0
12 Feb 2019
Practical Design Space Exploration
Practical Design Space Exploration
Luigi Nardi
D. Koeplinger
K. Olukotun
70
86
0
11 Oct 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
47
15
0
14 Sep 2018
On the choice of the low-dimensional domain for global optimization via
  random embeddings
On the choice of the low-dimensional domain for global optimization via random embeddings
M. Binois
D. Ginsbourger
O. Roustant
104
62
0
18 Apr 2017
Predictive Entropy Search for Multi-objective Bayesian Optimization with
  Constraints
Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints
Daniel Hernández-Lobato
Daniel Hernández-Lobato
91
112
0
05 Sep 2016
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
126
78
0
03 Aug 2016
Bayesian subset simulation
Bayesian subset simulation
Julien Bect
Ling Li
E. Vázquez
119
68
0
11 Jan 2016
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