Julien Bect
Orcid: 0000-0002-0867-0215
According to our database1,
Julien Bect
authored at least 25 papers
between 2004 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
CoRR, 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
Technometrics, 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
2016
SIAM/ASA J. Uncertain. Quantification, 2016
2015
Proceedings of the Learning and Intelligent Optimization - 9th International Conference, 2015
2014
Relabeling and Summarizing Posterior Distributions in Signal Decomposition Problems When the Number of Components is Unknown.
IEEE Trans. Signal Process., 2014
Fast Parallel Kriging-Based Stepwise Uncertainty Reduction With Application to the Identification of an Excursion Set.
Technometrics, 2014
2013
Comments on "Joint Bayesian Model Selection and Estimation of Noisy Sinusoids Via Reversible Jump MCMC".
IEEE Trans. Signal Process., 2013
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
Summarizing posterior distributions in signal decomposition problems when the number of components is unknown.
Proceedings of the 2012 IEEE International Conference on Acoustics, 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
2010
On the joint Bayesian model selection and estimation of sinusoids via Reversible Jump MCMC in low SNR situations.
Proceedings of the 10th International Conference on Information Sciences, 2010
An empirical Bayes approach for joint Bayesian model selection and estimation of sinusoids via reversible jump MCMC.
Proceedings of the 18th European Signal Processing Conference, 2010
2009
RJMCMC point process sampler for single sensor source separation: An application to electric load monitoring.
Proceedings of the 17th European Signal Processing Conference, 2009
2004
Proceedings of the Computer Vision, 2004