Julien Bect
70
Documents
Identifiants chercheurs
- julien-bect
- Arxiv : bect_j_1
- IdRef : 118894374
- 0000-0002-0867-0215
- VIAF : 202207089
- Google Scholar : https://scholar.google.fr/citations?user=7mKxFjkAAAAJ
Présentation
Publications
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Estimation of Small Quantile Sets Using a Sequential Bayesian StrategySIAM Conference on Uncertainty Quantification (UQ24), Feb 2024, Trieste, Italy
Communication dans un congrès
hal-04501097v1
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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
Communication dans un congrès
hal-04371085v1
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Bayesian multi-objective optimization for stochastic simulatorsMASCOT-NUM 2023, Apr 2023, Le croisic, France
Communication dans un congrès
hal-04322680v1
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Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimizationMASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France
Communication dans un congrès
hal-03715755v1
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Reliability-based inversion: Stepwise uncertainty reduction strategies?SIAM Conference on Uncertainty Quantification (UQ22), Apr 2022, Atlanta, United States
Communication dans un congrès
hal-03694921v1
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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
Communication dans un congrès
hal-03591555v2
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Extension of the Pareto Active Learning Method to Multi-Objective Optimization for Stochastic SimulatorsMASCOT-NUM Workshop on Stochastic Simulators, Mar 2021, Virtual conference, France
Communication dans un congrès
hal-03170038v1
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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⟩
Communication dans un congrès
hal-03096722v1
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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⟩
Communication dans un congrès
hal-03119528v2
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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
Communication dans un congrès
hal-03096610v1
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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⟩
Communication dans un congrès
hal-03158700v1
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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
Communication dans un congrès
hal-02490981v2
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Bayesian multi-objective optimization with noisy evaluations using the Knowledge GradientPGMO Days 2019, Dec 2019, Palaiseau, France
Communication dans un congrès
hal-02475345v1
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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⟩
Communication dans un congrès
hal-01874519v1
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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
Communication dans un congrès
hal-03097096v1
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Bayesian Subset Simulation TutorialSIAM Conference on Uncertainty Quantification (SIAM UQ 2018), Apr 2018, Garden Grove, Orange County, United States
Communication dans un congrès
hal-02299402v1
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User preferences in Bayesian multi-objective optimizationPGMO Days 2017, Nov 2017, Palaiseau, France
Communication dans un congrès
hal-03113483v1
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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
Communication dans un congrès
hal-01590748v1
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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
Communication dans un congrès
hal-01569604v1
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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
Communication dans un congrès
hal-01569037v1
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Planification et analyse d’expériences numériques, appliquées à la sécurité en ingénierie incendie21èmes journées du GDR Feux, Jan 2016, Cadarache, France
Communication dans un congrès
hal-01377795v1
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BMOO: a Bayesian Multi-Objective Optimization algorithmJournées annuelles du GdR MASCOT NUM (MASCOT NUM 2016), Mar 2016, Toulouse, France
Communication dans un congrès
hal-01377761v1
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Bias and Variance in the Bayesian Subset Simulation Algorithm2016 SIAM Conference on Uncertainty Quantification, Apr 2016, Lausanne, Switzerland
Communication dans un congrès
hal-01377732v1
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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
Communication dans un congrès
hal-01312988v1
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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
Communication dans un congrès
hal-01377722v1
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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
Communication dans un congrès
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Échantillonnage préférentiel et méta-modèles : méthodes bayésiennes optimale et défensive47èmes Journées de Statistique de la SFdS (JdS 2015), Jun 2015, Lille, France
Communication dans un congrès
hal-01163632v1
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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⟩
Communication dans un congrès
hal-01170137v1
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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
Communication dans un congrès
hal-01163565v1
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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
Communication dans un congrès
hal-01057322v1
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A Bayesian subset simulation approach to constrained global optimization of expensive-to-evaluate black-box functionsPGMO-COPI’14, Oct 2014, Palaiseau, France
Communication dans un congrès
hal-01078397v2
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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
Communication dans un congrès
hal-00846727v1
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Approche bayésienne pour l'estimation d'indices de SobolJdS 2013, May 2013, Toulouse, France. CD-ROM Proceedings (6 p.)
Communication dans un congrès
hal-00846747v1
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Bayes-optimal importance sampling for computer experiments7th International Workshop on Simulation (IWS 2013), May 2013, Rimini, Italy
Communication dans un congrès
hal-00933660v1
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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⟩
Communication dans un congrès
hal-00717195v1
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Optimisation bayésienne par méthodes SMC44èmes journées de Statistique (JdS 2012), May 2012, Bruxelles, Belgique. CD-ROM Proceedings (6 p.)
Communication dans un congrès
hal-00690675v1
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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.)
Communication dans un congrès
hal-00715316v1
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Optimisation bayésienne par méthodes SMCJournées annuelles du GdR MASCOT-NUM (MASCOT-NUM'12), Mar 2012, Bruyères-le-Châtel France
Communication dans un congrès
hal-00669170v1
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Sequential search based on Kriging: convergence analysis of some algorithms58th World Statistics Congress of the International Statistical Institute, Aug 2011, Dublin, Ireland. (10 p.)
Communication dans un congrès
hal-00643159v1
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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⟩
Communication dans un congrès
hal-00607816v1
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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.)
Communication dans un congrès
hal-00639430v1
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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
Communication dans un congrès
hal-00482541v1
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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⟩
Communication dans un congrès
hal-00440827v1
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Étude d'un nouveau critère d'optimisation bayésienneJournées annuelles du GdR MASCOT-NUM (MASCOT-NUM'10), Mar 2010, Avignon, France
Communication dans un congrès
hal-00482544v1
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Planification séquentielle pour l'estimation de probabilités de défaillanceAtelier "événements rares" du GdR MASCOT-NUM, May 2010, Paris, France
Communication dans un congrès
hal-00482518v1
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Évaluation d'un risque d'inondation fluviale par planification séquentielle d'expériences42èmes Journées de Statistique, 2010, Marseille, France, France
Communication dans un congrès
inria-00494767v1
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A sequential Bayesian algorithm to estimate a probability of failure15th IFAC Symposium on System Identification, SYSID 2009, Jul 2009, Saint-Malo, France. 5 p
Communication dans un congrès
hal-00368158v2
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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⟩
Chapitre d'ouvrage
hal-04490455v1
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Bayesian multi-objective optimization with constraints: Application to the design of a commercial aircraft environment control system2016
Autre publication scientifique
hal-01323028v1
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Bayesian sequential design of computer experiments for quantile set inversion2023
Pré-publication, Document de travail
hal-03835704v3
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Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method2022
Pré-publication, Document de travail
hal-03714535v2
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Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization2022
Pré-publication, Document de travail
hal-03686949v2
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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
Cours
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