Emmanuel VAZQUEZ

Prof. & researcher in Bayesian design and analysis of computer experiments; coordinator of Data Science projects at CentraleSupelec

L2S, CentraleSupélec
Bât. Breguet A3.20
3 rue Joliot Curie
91190 Gif-sur-Yvette, France

+33 (0)1 69 85 14 16

Publications

About meResearchCV
2022
Articles dans des revues

Sequential design of multi-fidelity computer experiments: maximizing the rate of stepwise uncertainty reduction

Stroh, Bect, Demeyer, Fischer, Marquis, Vazquez
Technometrics, 64 (2), p. 199-209, 2022
Communications dans des congrès

Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization

Petit, Bect, Vazquez
MASCOT-NUM 2022, Clermont-Ferrand, France, 2022

Reliability-based inversion: Stepwise uncertainty reduction strategies?

Ait Abdelmalek-Lomenech, Bect, Vazquez
SIAM Conference on Uncertainty Quantification (UQ22), Atlanta, États-Unis, 2022
Posters

Bayesian multi-objective optimization for quantitative risk assessment in microbiology

Basak, Bect, Guillier, Tenenhaus-Aziza, Christy, Vazquez
MASCOT-NUM 2022, Clermont-Ferrand, France, 2022

Sequential Bayesian inversion of black-box functions in presence of uncertainties

Ait Abdelmalek-Lomenech, Bect, Vazquez
MASCOT-NUM 2022, Clermont-Ferrand, France, 2022
Autre documents

Bayesian sequential design of computer experiments to estimate reliable sets

Ait Abdelmalek-Lomenech, Bect, Chabridon, Vazquez
2022
2021
Communications dans des congrès

On the quantification of discretization uncertainty: comparison of two paradigms

Bect, Zio, Perrin, Cannamela, Vazquez
14th World Congress in Computational Mechanics and ECCOMAS Congress 2020 (WCCM-ECCOMAS), Virtual conference, originally scheduled in Paris, France, 2021

Extension of the Pareto Active Learning method to multi-objective optimization for stochastic simulators

Barracosa, Bect, Dutrieux Baraffe, Morin, Fournel, Vazquez
SIAM Conference on Computational Science and Engineering (CSE21), Virtual Conference originally scheduled in Fort Worth, Texas, États-Unis, 2021

Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients

Petit, Bect, da Veiga, Feliot, Vazquez
52èmes Journées de Statistique de la SFdS (JdS 2020), Nice, France, 2021

Extension of the Pareto Active Learning Method to Multi-Objective Optimization for Stochastic Simulators

Barracosa, Bect, Dutrieux Baraffe, Morin, Fournel, Vazquez
MASCOT-NUM Workshop on Stochastic Simulators, Virtual conference, France, 2021

A Bayesian approach for the optimal integration of renewable energy sources in distribution networks over multi-year horizons

Barracosa, Morin, Dutrieux Baraffe, Bect, Vazquez, Fournel
26th International Conference & Exhibition on Electricity Distribution (CIRED 2021), Online (initially planned in Geneva), France, 2021

Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation

Basak, Petit, Bect, Vazquez
7th International Conference on machine Learning, Optimization and Data science (LOD 2021), Grasmere, Royaume-Uni, 2021
2020
Posters

Gaussian process model selection for computer experiments

Petit, Bect, Feliot, Vazquez
MASCOT PhD student 2020 Meeting, Grenoble, France, 2020

Bayesian multi-objective optimization with noisy evaluations

Barracosa, Bect, Dutrieux Baraffe, Morin, Fournel, Vazquez
MASCOT PhD student 2020 Meeting, Grenoble, France, 2020
2019
Communications dans des congrès

Bayesian multi-objective optimization with noisy evaluations using the Knowledge Gradient

Barracosa, Bect, Baraffe, Morin, Malarange, Vazquez
PGMO Days 2019, Palaiseau, France, 2019
Posters

Optimisation of multi-year planning strategies to better integrate renewable energies and new electricity uses in the distribution grid

Barracosa, Baraffe, Bect, Malarange, Morin, Vazquez
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2019), Rueil-Malmaison, France, 2019
2018
Communications dans des congrès

User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterion

Feliot, Bect, Vazquez
Machine Learning, Optimization, and Data Science. 4th International Conference (LOD 2018), Volterra, Italie, 2018

Planification d’expériences numériques en multi-fidélité, appliquée à la sécurité en ingénierie incendie

Stroh, Bect, Demeyer, Fischer, Marquis, Vazquez
50èmes Journées de Statistique de la SFdS (JdS 2018), Palaiseau, France, 2018

Bayesian Subset Simulation Tutorial

Vazquez, Bect
SIAM Conference on Uncertainty Quantification (SIAM UQ 2018), Garden Grove, Orange County, États-Unis, 2018
2017
Articles dans des revues

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

Feliot, Bect, Vazquez
Journal of Global Optimization, 67 (1), p. 97-133, 2017

Assessing fire safety using complex numerical models with a Bayesian multi-fidelity approach

Stroh, Bect, Demeyer, Fischer, Marquis, Vazquez
Fire Safety Journal, 91, p. 1016-1025, 2017

Bayesian subset simulation

Bect, Li, Vazquez
JUQ, 5 (1), ASA, American Statistical Association, p. 762-786, 2017
Communications dans des congrès

Sequential design of experiments to estimate a probability of exceeding a threshold in a multi-fidelity stochastic simulator

Stroh, Demeyer, Fischer, Bect, Vazquez
61th World Statistics Congress of the International Statistical Institute (ISI 2017), Marrakech, Maroc, 2017

Integrating hyper-parameter uncertainties in a multi-fidelity Bayesian model for the estimation of a probability of failure

Stroh, Bect, Demeyer, Fischer, Vazquez
11th International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing (AMTCM 2017), Glasgow, Royaume-Uni, 2017

Sequential design of experiment on a stochastic multi-fidelity simulator to estimate a probability of exceeding a threshold

Stroh, Bect, Vazquez, Demeyer, Fischer
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2017), Paris, France, 2017

User preferences in Bayesian multi-objective optimization

Feliot, Bect, Vazquez
PGMO Days 2017, Palaiseau, France, 2017

Design of a commercial aircraft environment control system using Bayesian optimization techniques

Feliot, Le Guennec, Bect, Vazquez
EngOpt 2016, 5th International Conference on Engineering Optimization, Iguassu Falls, Brésil, 2017
Autre documents

Bayesian Optimization

Bect, Vazquez
2017
2016
Communications dans des congrès

Gaussian process modeling for stochastic multi-fidelity simulators, with application to fire safety

Stroh, Bect, Demeyer, Fischer, Vazquez
48èmes Journées de Statistique de la SFdS (JdS 2016), Montpellier, France, 2016

Bias and Variance in the Bayesian Subset Simulation Algorithm

Bect, Sueur, Vazquez
2016 SIAM Conference on Uncertainty Quantification, Lausanne, Suisse, 2016

BMOO: a Bayesian Multi-Objective Optimization algorithm

Feliot, Bect, Vazquez
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Toulouse, France, 2016

Planification et analyse d’expériences numériques, appliquées à la sécurité en ingénierie incendie

Stroh, Bect, Vazquez, Demeyer, Fischer, Damien
21èmes journées du GDR Feux, Cadarache, France, 2016
Posters

Design and analysis of multi-level numerical experiments, with application to fire safety

Stroh, Bect, Demeyer, Fischer, Vazquez
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Toulouse, France, 2016
Autres ouvrages scientifiques
2015
Communications dans des congrès

A Bayesian approach to constrained multi-objective optimization of expensive-to-evaluate functions

Feliot, Bect, Vazquez
World Congress on Global Optimization (WCGO 2015), Gainesville (Florida), États-Unis, 2015

The Informational Approach to Global Optimization in presence of very noisy evaluation results. Application to the optimization of renewable energy integration strategies

Dutrieux, Aleksovska, Bect, Vazquez, Gauthier, Francois
47èmes Journées de Statistique de la SFdS (JdS 2015), Lille, France, 2015

Échantillonnage préférentiel et méta-modèles : méthodes bayésiennes optimale et défensive

Bect, Sueur, Gérossier, Mongellaz, Petit, Vazquez
47èmes Journées de Statistique de la SFdS (JdS 2015), Lille, France, 2015

A Bayesian Approach to Constrained Multi-objective Optimization

Feliot, Bect, Vazquez
Learning and Intelligent Optimization: 9th International Conference, LION 9. Revised Selected Papers., Lille, France, 2015
H.D.R.
Posters

A Bayesian approach to constrained multi-objective optimization

Feliot, Bect, Vazquez
Journées annuelles du GdR MASCOT NUM (MASCOT NUM 2015), Saint-Etienne, France, 2015
2014
Articles dans des revues

Fast parallel kriging-based stepwise uncertainty reduction with application to the identification of an excursion set

Chevalier, Bect, Ginsbourger, Vazquez, Picheny, Richet
Technometrics, 56 (4), p. 455-465, 2014
Communications dans des congrès

Quantification et réduction de l’incertitude concernant les propriétés de monotonie d’un code de calcul coûteux à évaluer

Bect, Bousquet, Iooss, Liu, Mabille, Popelin, Rivière, Stroh, Sueur, Vazquez
46èmes Journées de Statistique de la SFdS (JdS 2014), Rennes, France, 2014
Posters

Uncertainty quantification and reduction for the monotonicity properties of expensive-to-evaluate computer models

Bect, Bousquet, Iooss, Liu, Mabille, Popelin, Rivière, Stroh, Sueur, Vazquez
Uncertainty in Computer Models 2014 Conference, Sheffield, Royaume-Uni, 2014
2013
Communications dans des congrès

Fully Bayesian approach for the estimation of (first-order) Sobol indices

Jan, Bect, Vazquez
7th International Conference on Sensitivity Analysis of Model Output (MASCOT-SAMO 2013), Nice, France, 2013

Approche bayésienne pour l’estimation d’indices de Sobol

Jan, Bect, Vazquez, Lefranc
JdS 2013, Toulouse, France, 2013

Journal articles

Conference papers

Books

Patents and software

These/HDR

2015
H.D.R.
2005
Thèses