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Paul FELIOT
Paul FELIOT
Lhyfe
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Title
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Cited by
Year
A Bayesian approach to constrained single-and multi-objective optimization
P Feliot, J Bect, E Vazquez
Journal of Global Optimization 67 (1), 97-133, 2017
1222017
User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterion
P Feliot, J Bect, E Vazquez
International Conference on Machine Learning, Optimization, and Data Science …, 2018
142018
Design of a commercial aircraft environment control system using Bayesian optimization techniques
P Feliot, YL Guennec, J Bect, E Vazquez
arXiv preprint arXiv:1610.02271, 2016
82016
A Bayesian approach to constrained multi-objective optimization
P Feliot, J Bect, E Vazquez
International Conference on Learning and Intelligent Optimization, 256-261, 2015
72015
Une approche Bayésienne pour l'optimisation multi-objectif sous contraintes
P Feliot
Université Paris-Saclay, 2017
52017
Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients
S Petit, J Bect, S Da Veiga, P Feliot, E Vazquez
arXiv preprint arXiv:2002.11543, 2020
42020
Constrained multi-fidelity surrogate framework using Bayesian optimization with non-intrusive reduced-order basis
H Khatouri, T Benamara, P Breitkopf, J Demange, P Feliot
Advanced Modeling and Simulation in Engineering Sciences 7 (1), 1-20, 2020
32020
Gaussian process interpolation: the choice of the family of models is more important than that of the selection criterion
S Petit, J Bect, P Feliot, E Vazquez
arXiv preprint arXiv:2107.06006, 2021
22021
Bmoo: a bayesian multi-objective optimization algorithm
P Feliot, J Bect, E Vazquez
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), 2016
12016
Model parameters in Gaussian process interpolation: an empirical study of selection criteria
S Petit, J Bect, P Feliot, E Vazquez
2022
Isogeometric shape optimisation of volumetric blades for aircraft engines
M Guerder, A Duval, T Elguedj, P Feliot, J Touzeau
Structural and Multidisciplinary Optimization 65 (3), 1-21, 2022
2022
Gaussian process model selection for computer experiments
S Petit, J Bect, P Feliot, E Vazquez
MASCOT PhD student 2020 Meeting, 2020
2020
User preferences in Bayesian multi-objective optimization
P Feliot, J Bect, E Vazquez
PGMO Days 2017, 2017
2017
A Bayesian approach to constrained multi-objective optimization of expensive-to-evaluate functions
P Feliot, J Bect, E Vazquez
World Congress on Global Optimization (WCGO 2015), 2015
2015
A Bayesian subset simulation approach to constrained global optimization of expensive-to-evaluate black-box functions
P Feliot, J Bect, E Vazquez
PGMO-COPI’14, 2014
2014
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