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 | 121 | 2017 |
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 | 12 | 2018 |
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 | 8 | 2016 |
A Bayesian approach to constrained multi-objective optimization P Feliot, J Bect, E Vazquez International Conference on Learning and Intelligent Optimization, 256-261, 2015 | 6 | 2015 |
Une approche Bayésienne pour l'optimisation multi-objectif sous contraintes P Feliot Université Paris-Saclay, 2017 | 5 | 2017 |
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 | 3 | 2020 |
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 | 3 | 2020 |
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 | 2 | 2021 |
Bayesian multi-objective optimization with constraints: Application to the design of a commercial aircraft environment control system P Feliot, J Bect, E Vazquez | 1 | 2016 |
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 |