Emmanuel Vázquez
Orcid: 0000-0001-6270-0166
According to our database1,
Emmanuel Vázquez
authored at least 22 papers
between 2005 and 2023.
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Bibliography
2023
Parameter Selection in Gaussian Process Interpolation: An Empirical Study of Selection Criteria.
SIAM/ASA J. Uncertain. Quantification, December, 2023
2022
Sequential Design of Multi-Fidelity Computer Experiments: Maximizing the Rate of Stepwise Uncertainty Reduction.
Technometrics, 2022
Integration of bounded monotone functions: Revisiting the nonsequential case, with a focus on unbiased Monte Carlo (randomized) methods.
CoRR, 2022
2021
Numerical issues in maximum likelihood parameter estimation for Gaussian process regression.
CoRR, 2021
Numerical Issues in Maximum Likelihood Parameter Estimation for Gaussian Process Interpolation.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021
2018
User Preferences in Bayesian Multi-objective Optimization: The Expected Weighted Hypervolume Improvement Criterion.
Proceedings of the Machine Learning, Optimization, and Data Science, 2018
2017
J. Glob. Optim., 2017
2015
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015
2014
Proceedings of the Theory and Principled Methods for the Design of Metaheuristics, 2014
Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set.
Technometrics, 2014
2012
Sequential design of computer experiments for the estimation of a probability of failure.
Stat. Comput., 2012
Proceedings of the Learning and Intelligent Optimization - 6th International Conference, 2012
2011
CoRR, 2011
Robust Gaussian Process-Based Global Optimization Using a Fully Bayesian Expected Improvement Criterion.
Proceedings of the Learning and Intelligent Optimization - 5th International Conference, 2011
2009
An informational approach to the global optimization of expensive-to-evaluate functions.
J. Glob. Optim., 2009
Global optimization of expensive-to-evaluate functions: an empirical comparison of two sampling criteria.
J. Glob. Optim., 2009
Improved scatter search for the global optimization of computationally expensive dynamic models.
J. Glob. Optim., 2009
2007
Identification of expensive-to-simulate parametric models using Kriging and stepwise uncertainty reduction.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
IEEE Trans. Instrum. Meas., 2006
2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005