Sébastien Petit
Publications
Publications
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Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimizationJournal of Machine Learning Research, 2025, 26, pp.1-70 |
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An asymptotic study of the joint maximum likelihood estimation of the regularity and the amplitude parameters of a periodized Matérn modelElectronic Journal of Statistics , 2025, 19 (1), ⟨10.1214/25-EJS2380⟩ |
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Parameter selection in Gaussian process interpolation: An empirical study of selection criteriaSIAM/ASA Journal on Uncertainty Quantification, 2023, 11 (4), pp.1308-1328. ⟨10.1137/21M1444710⟩ |
The role of aspartyl-rich pentapeptides in comparative complexation of actinide(IV) and iron(III). Part 1New Journal of Chemistry, 2009, 33 (5), pp.976-985. ⟨10.1039/B813523A⟩ |
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Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimizationMASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France |
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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 |
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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⟩ |
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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 |
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Gaussian process model selection for computer experimentsMASCOT PhD student 2020 Meeting, Sep 2020, Grenoble, France. |
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Set-valued data analysis for interlaboratory comparisons2026 |
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Couplage entre indices à base de dérivées et mode adjoint pour l'analyse de sensibilité globale. Application sur le code Mascaret2016 |
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Improved Gaussian process modeling : Application to Bayesian optimizationModeling and Simulation. Université Paris-Saclay, 2022. English. ⟨NNT : 2022UPASG063⟩ |