E. Vázquez

发表

Convergence properties of the expected improvement algorithm with fixed mean and covariance functions

E. Vázquez, J. Bect, 2007, 0712.3744.

Convergence properties of the expected improvement algorithm

E. Vázquez, J. Bect, 2007, 0712.3744.

An informational approach to the global optimization of expensive-to-evaluate functions

Eric Walter, Emmanuel Vázquez, Julien Villemonteix, 2006, J. Glob. Optim..

Characterization of a 3D defect using the expected improvement algorithm

Emmanuel Vazquez, Marc Lambert, Sándor Bilicz, 2008 .

Multi-Output Suppport Vector Regression

E. Walter, E. Vázquez, 2003 .

RKHS classification for multivariate extreme-value analysis

E. Walter, E. Vázquez, G. Fleury, 2007 .

Application de la classification à vecteurs de support pour l'estimation de quantiles multidimensionnels extrêmes

E. Vázquez, E. Walter, G. Fleury, 2006 .

Statistical analysis of whole-body absorption depending on anatomical human characteristics at a frequency of 2.1 GHz

J Wiart, A Gati, E. Vázquez, 2010, Physics in medicine and biology.

Estimating derivatives and integrals with Kriging

E. Walter, E. Vázquez, E. Walter, 2005, Proceedings of the 44th IEEE Conference on Decision and Control.

Eddy-current testing with the Expected Improvement optimization algorithm

E. Vázquez, S. Bilicz, M. Lambert, 2009 .

A Bayesian subset simulation approach to constrained global optimization of expensive-to-evaluate black-box functions

E. Vázquez, J. Bect, Paul Feliot, 2014 .

Combination of maximin and kriging prediction methods for eddy-current testing database generation

Emmanuel Vazquez, Sandor Bilicz, Marc Lambert, 2010 .

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

E. Vázquez, J. Bect, S. Petit, 2022, 2206.03034.

On the convergence of the expected improvement algorithm

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

Global optimization based on noisy evaluations: An empirical study of two statistical approaches

E. Walter, E. Vázquez, Julien Villemonteix, 2008 .

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

E. Vázquez, J. Bect, S. Petit, 2022, 2206.03034.

Parameter selection in Gaussian process interpolation: an empirical study of selection criteria

E. Vázquez, J. Bect, Paul Feliot, 2022 .

Model parameters in Gaussian process interpolation: an empirical study of selection criteria MODEL PARAMETERS IN GAUSSIAN PROCESS INTERPOLATION

E. Vázquez, J. Bect, Paul Feliot, 2022 .

Parameter selection in Gaussian process interpolation: an empirical study of selection criteria

E. Vázquez, J. Bect, Paul Feliot, 2021, 2107.06006.

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

E. Vázquez, J. Bect, Paul Feliot, 2016, Journal of Global Optimization.

Bayesian sequential design of computer experiments to estimate reliable sets

E. Vázquez, J. Bect, V. Chabridon, 2022 .

Estimation of the volume of an excursion set of a Gaussian process using intrinsic Kriging

Miguel Ángel Martínez, E. Vázquez, 2006, math/0611273.

Global optimization based on noisy evaluations: An empirical study of two statistical approaches

Eric Walter, Emmanuel Vazquez, Julien Villemonteix, 2008 .

Identification of expensive-to-simulate parametric models using Kriging and stepwise uncertainty reduction

Eric Walter, Emmanuel Vázquez, Julien Villemonteix, 2007, 2007 46th IEEE Conference on Decision and Control.

Intrinsic Kriging and prior information

Eric Walter, Emmanuel Vazquez, Gilles Fleury, 2005 .

Sequential search strategies based on kriging

Emmanuel Vazquez, E. Vázquez, 2015 .

Global optimization of expensive-to-evaluate functions: an empirical comparison of two sampling criteria

Eric Walter, Emmanuel Vázquez, Julien Villemonteix, 2009, J. Glob. Optim..

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

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

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

E. Vázquez, J. Bect, N. Fischer, 2020, Technometrics.

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

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

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

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

Designing an Optimal Search Algorithm with Respect to Prior Information

Olivier Teytaud, Emmanuel Vázquez, O. Teytaud, 2014, Theory and Principled Methods for the Design of Metaheuristics.

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

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

A Bayesian Approach to Constrained Multi-objective Optimization

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

Bayesian Subset Simulation

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

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.

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

Ling Li, Julien Bect, Emmanuel Vazquez, 2010 .

BMOO: a Bayesian Multi-Objective Optimization algorithm

Julien Bect, Emmanuel Vazquez, Paul Feliot, 2016 .

A sequential Bayesian algorithm to estimate a probability of failure

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

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

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

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

Victor Picheny, David Ginsbourger, Julien Bect, 2019 .

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

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

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

E. Vázquez, J. Bect, Paul Feliot, 2020, 2002.11543.

Improved scatter search for the global optimization of computationally expensive dynamic models

Julio R. Banga, Rafael Martí, Jose A. Egea, 2009, J. Glob. Optim..

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

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

On the Quantification of Discretization Uncertainty: Comparison of Two Paradigms

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

Bayesian sequential design of computer experiments for quantile set inversion

E. Vázquez, J. Bect, V. Chabridon, 2022, 2211.01008.

Bayesian multi-objective optimization for stochastic simulators: an extension of the Pareto Active Learning method

E. Vázquez, J. Bect, H. Baraffe, 2022, 2207.03842.

Parameter Selection in Gaussian Process Interpolation: An Empirical Study of Selection Criteria

E. Vázquez, J. Bect, Paul Feliot, 2021, SIAM/ASA J. Uncertain. Quantification.

Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation

E. Vázquez, J. Bect, S. Petit, 2021, LOD.

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

Julien Bect, Séverine Demeyer, Nicolas Fischer, 2017 .

Bayesian Optimization Using Sequential Monte Carlo

E. Vázquez, J. Bect, R. Benassi, 2011, LION.

Numerical issues in maximum likelihood parameter estimation for Gaussian process regression

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

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 .

Kriging for Eddy-Current Testing Problems

Marc Lambert, Sándor Bilicz, Emmanuel Vazquez, 2010, IEEE Transactions on Magnetics.

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

Julien Bect, Emmanuel Vazquez, Benoit Jan, 2013 .