Julien Bect

发表

Bayesian Subset Simulation: a kriging-based subset simulation algorithm for the estimation of small probabilities of failure

Ling Li, Julien Bect, Emmanuel Vazquez, 2012, 1207.1963.

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

Nicolas Fischer, Julien Bect, R'emi Stroh, 2017, Series on Advances in Mathematics for Applied Sciences.

Bias and Variance in the Bayesian Subset Simulation Algorithm

Julien Bect, Emmanuel Vazquez, Roman Sueur, 2016 .

On the convergence of the expected improvement algorithm

Julien Bect, Emmanuel Vazquez, E. Vázquez, 2007 .

On the joint Bayesian model selection and estimation of sinusoids via Reversible Jump MCMC in low SNR situations

Julien Bect, Gilles Fleury, Alireza Roodaki, 2010, 10th International Conference on Information Science, Signal Processing and their Applications (ISSPA 2010).

Quantifying Uncertainties on Excursion Sets Under a Gaussian Random Field Prior

David Ginsbourger, Julien Bect, Dario Azzimonti, 2015, SIAM/ASA J. Uncertain. Quantification.

A numerical comparison of kriging-based sequential strategies for estimating a probability of failure

Ling Li, Julien Bect, Emmanuel Vazquez, 2011 .

Bayes-optimal importance sampling for computer experiments

Julien Bect, Emmanuel Vazquez, 2013 .

A numerical comparison of two sequential kriging-based algorithms to estimate a probability of failure

Ling Li, Julien Bect, Emmanuel Vazquez, 2010 .

A new integral loss function for Bayesian optimization pdf

Julien Bect, Emmanuel Vázquez, 2014, ArXiv.

A Bayesian Approach to Constrained Multi-objective Optimization

Julien Bect, Emmanuel Vázquez, Paul Feliot, 2015, LION.

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

Julien Bect, Emmanuel Vázquez, Paul Feliot, 2015, Journal of Global Optimization.

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

Nicolas Fischer, Julien Bect, S'everine Demeyer, 2016 .

Adaptive Design of Experiments for Conservative Estimation of Excursion Sets

David Ginsbourger, Yann Richet, Julien Bect, 2016, Technometrics.

Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set

Victor Picheny, David Ginsbourger, Yann Richet, 2014, Technometrics.

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

Julien Bect, Séverine Demeyer, Nicolas Fischer, 2016 .

RJMCMC point process sampler for single sensor source separation: An application to electric load monitoring

Alexandre Girard, Julien Bect, Redouane Seraoui, 2009, 2009 17th European Signal Processing Conference.

A sequential Bayesian algorithm to estimate a probability of failure

Julien Bect, Emmanuel Vazquez, E. Vázquez, 2009 .

An empirical Bayes approach for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC

Julien Bect, Gilles Fleury, Alireza Roodaki, 2010, 2010 18th European Signal Processing Conference.

Bayesian Subset Simulation

Ling Li, Julien Bect, Emmanuel Vazquez, 2016, SIAM/ASA J. Uncertain. Quantification.

Numerical issues in maximum likelihood parameter estimation for Gaussian process regression

Julien Bect, Emmanuel Vazquez, Subhasish Basak, 2021, ArXiv.

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

Julien Bect, Gilles Malarange, Emmanuel Vazquez, 2019 .

Line of Sight controller tuning using Bayesian optimization of a high-level optronic criterion

Guillaume Sandou, Julien Bect, Gilles Duc, 2015 .

Sequential search based on kriging: convergence analysis of some algorithms pdf

Julien Bect, Emmanuel Vázquez, E. Vázquez, 2011, ArXiv.

Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion

Julien Bect, Emmanuel Vázquez, Romain Benassi, 2011, LION.

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

Julien Bect, Paul Feliot, Emmanuel Vazquez, 2016 .

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

Julien Bect, Emmanuel Vazquez, S'ebastien da Veiga, 2020 .

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

Julien Bect, S'everine Demeyer, Emmanuel Vazquez, 2020 .

Bayesian multi-objective optimization with constraints: Application to the design of a commercial aircraft environment control system

Julien Bect, Paul Feliot, Emmanuel Vazquez, 2016 .

Bayesian Optimization Using Sequential Monte Carlo

Julien Bect, Emmanuel Vázquez, Romain Benassi, 2012, LION.

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

Julien Bect, Emmanuel Vazquez, Benoit Jan, 2013 .

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

Julien Bect, Séverine Demeyer, Nicolas Fischer, 2017 .

User Preferences in Bayesian Multi-objective Optimization: The Expected Weighted Hypervolume Improvement Criterion

Julien Bect, Emmanuel Vázquez, Paul Feliot, 2018, LOD.

Comments on “Joint Bayesian Model Selection and Estimation of Noisy Sinusoids Via Reversible Jump MCMC”

Julien Bect, Gilles Fleury, Alireza Roodaki, 2013, IEEE Transactions on Signal Processing.

A l1-Unified Variational Framework for Image Restoration

Antonin Chambolle, Gilles Aubert, Julien Bect, 2004, ECCV.

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

Julien Bect, Séverine Demeyer, Nicolas Fischer, 2017 .

BMOO: a Bayesian Multi-Objective Optimization algorithm

Julien Bect, Emmanuel Vazquez, Paul Feliot, 2016 .

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

Julien Bect, R'emi Stroh, S'everine Demeyer, 2017, 1707.08384.

Sequential design of computer experiments for the estimation of a probability of failure

Ling Li, Victor Picheny, David Ginsbourger, 2010, Statistics and Computing.

Relabeling and Summarizing Posterior Distributions in Signal Decomposition Problems When the Number of Components is Unknown

Julien Bect, Gilles Fleury, Alireza Roodaki, 2013, IEEE Transactions on Signal Processing.

Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction

Nicolas Fischer, Julien Bect, Emmanuel Vazquez, 2021, Technometrics.

Gaussian process interpolation: the choice of the family of models is more important than that of the selection criterion

Julien Bect, Emmanuel Vazquez, Paul Feliot, 2021 .

Numerical issues in maximum likelihood parameter estimation for Gaussian process interpolation

Julien Bect, Emmanuel Vazquez, Subhasish Basak, 2021 .

On the Quantification of Discretization Uncertainty: Comparison of Two Paradigms

Julien Bect, Emmanuel Vazquez, Souleymane Zio, 2021, 14th WCCM-ECCOMAS Congress.

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

Victor Picheny, David Ginsbourger, Julien Bect, 2019 .

Pointwise consistency of the kriging predictor with known mean and covariance functions

Julien Bect, Emmanuel Vazquez, E. Vázquez, 2009, 0912.1479.

A novel non-intrusive method using design of experiments and smooth approximation to speed up multi-period load-flows in distribution network planning

Julien Bect, Bruno François, Gauthier Delille, 2018 .

Quantifying and reducing uncertainties on excursion sets under a gaussian random field prior

David Ginsbourger, Julien Bect, Ilya Molchanov, 2014 .

A unifying formulation of the Fokker–Planck–Kolmogorov equation for general stochastic hybrid systems

Julien Bect, 2010 .

Estimating and quantifying uncertainties on level sets using the Vorob'ev expectation and deviation with Gaussian process models

David Ginsbourger, Julien Bect, Ilya Molchanov, 2013 .

A unifying formulation of the Fokker-Planck-Kolmogorov equation for general stochastic hybrid systems

Julien Bect, 2008 .

Note on the computation of the Metropolis-Hastings ratio for Birth-or-Death moves in trans-dimensional MCMC algorithms for signal decomposition problems

Julien Bect, Gilles Fleury, Alireza Roodaki, 2011 .

Generalized Fokker-Planck equation for piecewise-diffusion processes with boundary hitting resets

Julien Bect, Gilles Fleury, Hana Baili, 2006 .