Emmanuel Vazquez
Présentation
Publications
Publications
|
|
Scalable Gaussian Process for Large DatasetsInternational Workshop on ADVANCEs in ICT Infrastructures and Services, VNU, UEVE-PARIS-SACLAY, Feb 2024, Hanoi, Vietnam |
|
|
Multi-output Gaussian process for river water height estimationInternational Workshop on ADVANCEs in ICT Infrastructures and Services, VNU, UEVE-PARIS-SACLAY, Feb 2024, Hanoi, Vietnam |
|
|
Gaussian process interpolation with conformal prediction: methods and comparative analysisLOD 2024, 10th International Conference on Machine Learning, Optimization, and Data Science, Sep 2024, Castiglione della Pescaia Grosseto Italy, Italy |
Estimation of Small Quantile Sets Using a Sequential Bayesian StrategySIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy |
|
|
|
A stepwise uncertainty reduction strategy for the estimation of small quantile setsMASCOT-NUM 2024, Apr 2024, Hyères, France |
Active Learning of (small) Quantile SetsSAMOURAI (workshop of the SAMOURAI ANR project), Dec 2024, Paris Institut Henri Poincaré, France |
|
|
|
Minimizing the risk of foodborne illness and analytical costs using a QMRA model for raw milk cheeses12th International Conference on Predictive Modelling in Food (ICPMF12), Jun 2023, Sapporo, Japan |
|
|
Bayesian multi-objective optimization for stochastic simulatorsMASCOT-NUM 2023, Apr 2023, Le croisic, France |
|
|
Kriging metamodels for 2D finite element simulations of the settlements induced by TBM excavation in urban areasCongrès Français du Génie Civil 2023, Association Française de Génie Civil, May 2023, Gif-sur-Yvette, France |
|
|
Integration of bounded monotone functions: Revisiting the nonsequential case, with a focus on unbiased Monte Carlo (randomized) methods53èmes Journées de Statistique de la SFdS, Jun 2022, Lyon, France |
|
|
Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimizationMASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France |
Reliability-based inversion: Stepwise uncertainty reduction strategies?SIAM Conference on Uncertainty Quantification (UQ22), Apr 2022, Atlanta, United States |
|
|
|
Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation7th International Conference on machine Learning, Optimization and Data science (LOD 2021), Oct 2021, Grasmere, United Kingdom. ⟨10.1007/978-3-030-95470-3_9⟩ |
|
|
Towards new cross-validation-based estimators for Gaussian process regression: efficient adjoint computation of gradients52èmes Journées de Statistique de la SFdS (JdS 2020), May 2021, Nice, France. pp.633-638 |
|
|
On the quantification of discretization uncertainty: comparison of two paradigms14th World Congress in Computational Mechanics and ECCOMAS Congress 2020 (WCCM-ECCOMAS), Jan 2021, Virtual conference, originally scheduled in Paris, France. ⟨10.23967/wccm-eccomas.2020.260⟩ |
|
|
A Bayesian approach for the optimal integration of renewable energy sources in distribution networks over multi-year horizons26th International Conference & Exhibition on Electricity Distribution (CIRED 2021), Sep 2021, Online (initially planned in Geneva), France. ⟨10.1049/icp.2021.1946⟩ |
Extension of the Pareto Active Learning method to multi-objective optimization for stochastic simulatorsSIAM Conference on Computational Science and Engineering (CSE21), Mar 2021, Virtual Conference originally scheduled in Fort Worth, Texas, United States |
|
Extension of the Pareto Active Learning Method to Multi-Objective Optimization for Stochastic SimulatorsMASCOT-NUM Workshop on Stochastic Simulators, Mar 2021, Virtual conference, France |
|
|
|
Bayesian multi-objective optimization with noisy evaluations using the Knowledge GradientPGMO Days 2019, Dec 2019, Palaiseau, France |
Planification d’expériences numériques en multi-fidélité, appliquée à la sécurité en ingénierie incendie50èmes Journées de Statistique de la SFdS (JdS 2018), May 2018, Palaiseau, France |
|
Bayesian Subset Simulation TutorialSIAM Conference on Uncertainty Quantification (SIAM UQ 2018), Apr 2018, Garden Grove, Orange County, United States |
|
|
|
User preferences in Bayesian multi-objective optimization: the expected weighted hypervolume improvement criterionMachine Learning, Optimization, and Data Science. 4th International Conference (LOD 2018), Sep 2018, Volterra, Italy. pp.533-544, ⟨10.1007/978-3-030-13709-0_45⟩ |
|
|
Sequential design of experiment on a stochastic multi-fidelity simulator to estimate a probability of exceeding a thresholdJournées annuelles du GdR MASCOT NUM (MASCOT NUM 2017), Mar 2017, Paris, France |
|
|
Design of a commercial aircraft environment control system using Bayesian optimization techniquesEngOpt 2016, 5th International Conference on Engineering Optimization, Jun 2016, Iguassu Falls, Brazil. pp.400-409 |
|
|
Integrating hyper-parameter uncertainties in a multi-fidelity Bayesian model for the estimation of a probability of failure11th International Conference on Advanced Mathematical and Computational Tools in Metrology and Testing (AMTCM 2017) , Aug 2017, Glasgow, United Kingdom |
User preferences in Bayesian multi-objective optimizationPGMO Days 2017, Nov 2017, Palaiseau, France |
|
|
|
Sequential design of experiments to estimate a probability of exceeding a threshold in a multi-fidelity stochastic simulator61th World Statistics Congress of the International Statistical Institute (ISI 2017), Jul 2017, Marrakech, Morocco |
|
|
Gaussian process modeling for stochastic multi-fidelity simulators, with application to fire safety48èmes Journées de Statistique de la SFdS (JdS 2016), May 2016, Montpellier, France |
Bias and Variance in the Bayesian Subset Simulation Algorithm2016 SIAM Conference on Uncertainty Quantification, Apr 2016, Lausanne, Switzerland |
|
|
|
BMOO: a Bayesian Multi-Objective Optimization algorithmJournées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Mar 2016, Toulouse, France |
Planification et analyse d’expériences numériques, appliquées à la sécurité en ingénierie incendie21èmes journées du GDR Feux, Jan 2016, Cadarache, France |
|
A Bayesian approach to constrained multi-objective optimization of expensive-to-evaluate functionsWorld Congress on Global Optimization (WCGO 2015), Feb 2015, Gainesville (Florida), United States |
|
|
|
A Bayesian Approach to Constrained Multi-objective OptimizationLearning and Intelligent Optimization: 9th International Conference, LION 9. Revised Selected Papers., Jan 2015, Lille, France. pp.256-261, ⟨10.1007/978-3-319-19084-6_24⟩ |
|
|
The Informational Approach to Global Optimization in presence of very noisy evaluation results. Application to the optimization of renewable energy integration strategies47èmes Journées de Statistique de la SFdS (JdS 2015), Jun 2015, Lille, France |
|
|
Échantillonnage préférentiel et méta-modèles : méthodes bayésiennes optimale et défensive47èmes Journées de Statistique de la SFdS (JdS 2015), Jun 2015, Lille, France |
|
|
A Bayesian subset simulation approach to constrained global optimization of expensive-to-evaluate black-box functionsPGMO-COPI’14, Oct 2014, Palaiseau, France |
|
|
Quantification et réduction de l'incertitude concernant les propriétés de monotonie d'un code de calcul coûteux à évaluer46èmes Journées de Statistique de la SFdS (JdS 2014), Jun 2014, Rennes, France. 6 p |
|
|
Approche bayésienne pour l'estimation d'indices de SobolJdS 2013, May 2013, Toulouse, France. CD-ROM Proceedings (6 p.) |
Bayes-optimal importance sampling for computer experiments7th International Workshop on Simulation (IWS 2013), May 2013, Rimini, Italy |
|
Fully Bayesian approach for the estimation of (first-order) Sobol indices7th International Conference on Sensitivity Analysis of Model Output (MASCOT-SAMO 2013), Jul 2013, Nice, France |
|
|
|
Optimisation bayésienne par méthodes SMCJournées annuelles du GdR MASCOT-NUM (MASCOT-NUM'12), Mar 2012, Bruyères-le-Châtel France |
|
|
Bayesian Subset Simulation: a kriging-based subset simulation algorithm for the estimation of small probabilities of failure11th International Probabilistic Assessment and Management Conference (PSAM11) and The Annual European Safety and Reliability Conference (ESREL 2012), Jun 2012, Helsinki, Finland. CD-ROM Proceedings (10 p.) |
|
|
Optimisation bayésienne par méthodes SMC44èmes journées de Statistique (JdS 2012), May 2012, Bruxelles, Belgique. CD-ROM Proceedings (6 p.) |
|
|
A nonparametric model for sensors used in a dynamic context7th International Workshop on Analysis of Dynamic Measurements, Oct 2012, Paris, France |
|
|
Bayesian optimization using sequential Monte Carlo6th International Conference on Learning and Intelligent Optimization (LION6), Jan 2012, Paris, France. pp.339-342, ⟨10.1007/978-3-642-34413-8_24⟩ |
Sequential search based on Kriging: convergence analysis of some algorithms58th World Statistics Congress of the International Statistical Institute, Aug 2011, Dublin, Ireland. (10 p.) |
|
A numerical comparison of kriging-based sequential strategies for estimating a probability of failure11th International Conference on Applications of Statistics and Probability Civil Engineering (ICASP'11), Aug 2011, Zurich, Switzerland. CD-ROM Proceedings (7 p.) |
|
|
|
Robust Gaussian process-based global optimization using a fully Bayesian expected improvement criterion5th International Conference on Learning and Intelligent Optimization (LION 5), Jan 2011, Rome, Italy. pp.176-190, ⟨10.1007/978-3-642-25566-3_13⟩ |
|
|
Pointwise consistency of the kriging predictor with known mean and covariance functions9th International Workshop in Model-Oriented Design and Analysis, Jun 2010, Bertinoro, Italy. pp.221-228, ⟨10.1007/978-3-7908-2410-0⟩ |
|
|
Plan d'expériences séquentiel appliqué à la dosimétrie numérique15è Colloque International et Exposition sur la compatibilité Electromagnétique (CEM'10), Apr 2010, Limoges, France. CD-ROM Proceedings (2 p.) |
Étude d'un nouveau critère d'optimisation bayésienneJournées annuelles du GdR MASCOT-NUM (MASCOT-NUM'10), Mar 2010, Avignon, France |
|
|
|
Bayesian experiment planning applied to numerical dosimetryPoint meeting of the Biolelectromagnetics Society and the European Bioelectromagnetics Association (BioEM'10), Jun 2010, Séoul, North Korea. CD-ROM Proceedings (2 p.) |
|
|
Multidimensional collocation stochastic method to evaluate the Whole Specific Absorption Rate for a given populationPoint meeting of the Bioelectromagnetics Society and The European Bioelectromagnetics Association (BioEM'10), Jun 2010, Séoul, North Korea. CD-ROM Proceedings (2 p.) |
A numerical comparison of two sequential kriging-based algorithms to estimate a probability of failureUncertainty in Computer Models (UCM) 2010, Jul 2010, Sheffield, United Kingdom |
|
Planification séquentielle pour l'estimation de probabilités de défaillanceAtelier "événements rares" du GdR MASCOT-NUM, May 2010, Paris, France |
|
|
|
Évaluation d'un risque d'inondation fluviale par planification séquentielle d'expériences42èmes Journées de Statistique, 2010, Marseille, France, France |
The ``Expected Improvement'' global optimization algorithm for the solution of eddy-current testing inverse problems14th International Workshop on Electromagnetic Non-Destructive Evaluation (ENDE'09), Jul 2009, Dayton, United States. pp.144-145 |
|
|
|
Combination of Maximin and Kriging Prediction Methods for Eddy-Current Testing Database GenerationWorkshop on Electromagnetic Inverse Problems, Jun 2009, Manchester, United Kingdom |
|
|
Identification of factors influencing the Whole Body Absorption Rate using statistical analysisProceedings of the The joint meeting of the Biolecetromagnetics Society and the European Bioelectromagnetics Association (BioEM'09), Jun 2009, Davos, Switzerland |
|
|
Kriging for eddy-current testing problems17th Conference on the Computation of Electromagnetic Fields (COMPUMAG'09), Nov 2009, Florianopolis, Brazil. pp.3--4 |
|
|
Eddy-current testing with the Expected Improvement optimization algorithm15th IFAC Symposium on System Identification, SYSID 2009, Jul 2009, Saint-Malo, France |
|
|
Identification des facteurs morphologiques impactant le Débit d'Absorption Spécifique du Corps EntierProccedings of the Aremif'09, Apr 2009, Paris, France |
A new database generation method combining maximin method and kriging prediction for eddy-current testing14th International Workshop on Electromagnetic Non--Destructive Evaluation (ENDE'09), Jul 2009, Dayton, United States. pp.84-85 |
|
|
|
A sequential Bayesian algorithm to estimate a probability of failure15th IFAC Symposium on System Identification, SYSID 2009, Jul 2009, Saint-Malo, France. 5 p |
|
|
Bayesian optimization for parameter identification on a small simulation budget15th IFAC Symposium on System Identification, SYSID 2009, Jul 2009, Saint-Malo, France. 6 p |
|
|
Analyse statistique de la puissance absorbée par le corps entier en radiofréquence16è journées Nationales Microondes (JNM'09), May 2009, Grenoble, France. 4 p |
Génération et analyse optimale de bases de données2ième forum DIGITEO, Oct 2009, Palaiseau, France |
|
Towards a statistical model of EGEE load3rd EGEE User Forum, EGEE-II project, Feb 2008, Clermont-Ferrand, France |
|
|
|
Characterization of a 3D defect using the Expected Improvement algorithm13th IGTE - Symposium on Numerical Field Calculation in Electrical Engineering, Sep 2008, Graz, Austria |
|
|
Black-box identification and simulation of continuous-time nonlinear systems with random processes17th IFAC World Congress International Federation of Automatic Control, Jul 2008, Seoul, South Korea. pp. 14391-14396 |
|
|
Identification boîte noire et simulation de systèmes non-linéaires à temps continu par prédiction linéaire de processus aléatoiresCIFA - Conférence Internationale Francophone d'Automatique, Sep 2008, Bucarest, Roumanie. pp.N.A |
|
|
Identification of expensive-to-simulate parametric models using Kriging and Stepwise Uncertainty ReductionConference on Decision and Control, Dec 2007, New Orleans, United States. pp.5505-5510, ⟨10.1109/CDC.2007.4434190⟩ |
Improved scatter search for the global optimization of computationally expensive dynamic modelsAdvances in Global Optimization : Method and Applications, 2007, Myconos, Greece |
|
|
|
Estimation du volume des ensembles d'excursion d'un processus Gaussien par Krigeage intrinsèqueConférence Journée de Statistiques, Jun 2007, Angers, France. pp.CD-ROM Proceedings |
|
|
RKHS classification for multivariate extreme-value analysisIASC 07 - Statistics for Data Mining, Learning and Knowledge Extraction, 2007, Portugal. pp.NA |
Gradient-based IAGO strategy for the global optimization of expensive-to-evaluate functions and application to intake-port designAdvances in Global Optimization : Method and Applications, Jun 2007, Myconos, Greece |
|
|
|
Application de la classification à vecteurs de support pour l'estimation de quantiles multidimensionnels extrêmes38èmes Journées de Statistiques, May 2006, Clamart, France |
|
|
Estimation of extreme values, with application to uncertain systemsSymposium on System Identification, Mar 2006, Newcastle, Australia. pp.1027-1032 |
|
|
Estimating derivatives and integrals with KrigingIEEE 44th Conference on Decision and Control & European Control Conference, Dec 2005, European Union. pp 8156-8161 |
|
|
Goal-oriented calibration of Gaussian Processes with conformal predictionWorkshop "Calibrating prediction uncertainty : statistics and machine learning perspectives" (RCLW02), Jun 2025, Isaac Newton Institute for Mathematical Sciences, Cambdridge, United Kingdom. |
|
|
A Bayesian framework for calibrating Gaussian process predictive distributionsKhuong An Nguyen, Zhiyuan Luo, Harris Papadopoulos, Tuwe Löfström, Lars Carlsson and Henrik Boström. Conformal and Probabilistic Prediction with Applications (COPA 2025), Sep 2025, Royal Holloway, London, United Kingdom. Proceedings of Machine Learning Research, 266, pp.748-750 |
|
|
Numerical study of the calibration of predictive distributions from Gaussian process interpolationMASCOT-NUM 2024, Apr 2024, Hyères, France. |
|
|
Optimizing TBM Parameters through Surface Settlement Monitoring Using Surrogate Modelling ApproachPhD day, june 2023, Palaiseau, Jun 2023, Palaiseau, France |
|
|
Estimation of (small) reliable sets using a sequential Bayesian strategyMASCOT-NUM 2023, Apr 2023, Le croisic, France. |
|
|
MINERVE - Un jumeau numérique pour gérer l'infrastructure ferroviaireColloque Jumeaux Numériques, Feb 2023, Gif-sur-Yvette, France. , 2023 |
|
|
Sequential Bayesian inversion of black-box functions in presence of uncertaintiesMASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France. |
|
|
Quantitative risk assessment and optimization of process intervention parameters for French raw milk soft cheeseIDF World Dairy Summit 2022, Sep 2022, New Delhi, India. |
|
|
Bayesian multi-objective optimization for quantitative risk assessment in microbiologyMASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France. |
|
|
Bayesian multi-objective optimization with noisy evaluationsMASCOT PhD student 2020 Meeting, Sep 2020, Grenoble, France. |
|
|
Gaussian process model selection for computer experimentsMASCOT PhD student 2020 Meeting, Sep 2020, Grenoble, France. |
|
|
Optimisation of multi-year planning strategies to better integrate renewable energies and new electricity uses in the distribution gridJournées annuelles du GdR MASCOT NUM (MASCOT NUM 2019), Mar 2019, Rueil-Malmaison, France. |
|
|
Design and analysis of multi-level numerical experiments, with application to fire safetyJournées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Mar 2016, Toulouse, France |
|
|
A Bayesian approach to constrained multi-objective optimizationJournées annuelles du GdR MASCOT NUM (MASCOT NUM 2015), Apr 2015, Saint-Etienne, France. , 2015 |
|
|
Uncertainty quantification and reduction for the monotonicity properties of expensive-to-evaluate computer modelsUncertainty in Computer Models 2014 Conference, Jul 2014, Sheffield, United Kingdom |
|
|
Integrating hyper-parameter uncertainties in a multi-fidelity Bayesian model for the estimation of a probability of failureAdvanced Mathematical and Computational Tools in Metrology and Testing XI, 89, WORLD SCIENTIFIC, pp.349-356, 2018, Series on Advances in Mathematics for Applied Sciences, ⟨10.1142/9789813274303_0035⟩ |
A new database generation method combining maximin method and kriging prediction for eddy-current testingElectromagnetic Non--Destructive Evaluation (XIII), IOS Press, pp.199--206, 2010 |
Bayesian multi-objective optimization with constraints: Application to the design of a commercial aircraft environment control system2016 |
|
|
Bayesian Active Learning of (small) Quantile Sets through Expected Estimator Modification2025 |
|
|
Design-marginal calibration of Gaussian process predictive distributions: Bayesian and conformal approaches2025 |
|
|
Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method2022 |
|
|
Global optimization of expensive-to-evaluate functions: an empirical comparison of two sampling criteria2008 |
|
|
Modélisation comportementale de systèmes non-linéaires multivariables par méthodes à noyaux et applicationsAutomatique / Robotique. Université Paris Sud - Paris XI, 2005. Français. ⟨NNT : ⟩ |
|
|
Sequential search strategies based on krigingComputation [stat.CO]. Université Paris-Sud, 2015 |
|
|
Bayesian OptimizationDoctoral. CEA-EDF-INRIA Numerical analysis Summer school 2017. Design and optimization under uncertainty of large-scale numerical models., Université Pierre et Marie Curie (Paris VI), Paris, France. 2017, pp.224 |