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Staphylococcus Aureus Carriage in French Athletes at Risk of CA-MRSA Infection: a Prospective, Cross-sectional Study.

 Elodie Couvé-Deacon , Déborah Postil , Olivier. Barraud , Cécile Duchiron , D. Chainier , et al.
Sports medicine - Open, 2017, 3 (1), pp.28
Article dans une revue hal-01586267v1
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Cross-validation estimation of covariance parameters under fixed-domain asymptotics

 François Bachoc , Agnes Lagnoux , Thi Mong Ngoc Nguyen
Journal of Multivariate Analysis, 2017, 160, pp.42 - 67
Article dans une revue hal-01377854v2
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Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics

 Daira Velandia , Moreno Bevilacqua , François Bachoc , Xavier Gendre , Jean-Michel Loubes
Electronic Journal of Statistics , 2017, 11 (2), pp.2978-3007. ⟨10.1214/17-EJS1298⟩
Article dans une revue hal-01597076v1
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Hastings-Metropolis algorithm on Markov chains for small-probability estimation

 François Bachoc , Achref Bachouch , Lionel Lenôtre
ESAIM: Proceedings, 2015, 48, pp.33. ⟨10.1051/proc/201448013⟩
Article dans une revue hal-01058939v5
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A User-Oriented Local Coastal Flooding Early Warning System Using Metamodelling Techniques

 Déborah Idier , Axel Aurouet , François Bachoc , Audrey Baills , José Daniel Betancourt , et al.
Journal of Marine Science and Engineering, 2021, pp.1191. ⟨10.3390/jmse9111191⟩
Article dans une revue hal-03406179v2
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Gaussian process optimization with failures: classification and convergence proof

 François Bachoc , Céline Helbert , Victor Picheny
Journal of Global Optimization, In press, ⟨10.1007/s10898-020-00920-0⟩
Article dans une revue hal-02100819v2
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A Gaussian Process Regression Model for Distribution Inputs

 François Bachoc , Fabrice Gamboa , Jean-Michel Loubes , Nil Venet
IEEE Transactions on Information Theory, 2018, 64 (10), pp.6620 - 6637
Article dans une revue hal-01450002v2
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Sequential Design of Mixture Experiments with an Empirically Determined Input Domain and an Application to Burn-up Credit Penalization of Nuclear Fuel Rods

 François Bachoc , Théo Barthe , Thomas Santner , Yann Richet
Nuclear Engineering and Design, 2021, 374, pp.111034. ⟨10.1016/j.nucengdes.2020.111034⟩
Article dans une revue hal-02535987v1
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Sensitivity indices for independent groups of variables

 Baptiste Broto , François Bachoc , Marine Depecker , Jean-Marc Martinez
Mathematics and Computers in Simulation, 2019, 163, pp.19-31. ⟨10.1016/j.matcom.2019.02.008⟩
Article dans une revue hal-01680687v3
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Composite likelihood estimation for a Gaussian process under fixed domain asymptotics

 François Bachoc , Moreno Bevilacqua , Daira Velandia
2018
Pré-publication, Document de travail hal-01845283v2
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Gaussian processes for computer experiments

 François Bachoc , Emile Contal , Hassan Maatouk , Didier Rullière
ESAIM: Proceedings and Surveys, 2017, 60, pp.163-179. ⟨10.1051/proc/201760163⟩
Article dans une revue hal-01665936v1
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Improvement of code behaviour in a design of experiments by metamodeling

 François Bachoc , Jean-Marc Martinez , Karim Ammar
2015
Pré-publication, Document de travail hal-01216697v1
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Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics

 Velandia Daira , François Bachoc , Bevilacqua Moreno , Gendre Xavier , Jean-Michel Loubes
2016
Pré-publication, Document de travail hal-01294547v1
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Improvement of code behavior in a design of experiments by metamodeling

 François Bachoc , Karim Ammar , Jean-Marc Martinez
Nuclear Science and Engineering, 2016, 183 (3), pp.387-406. ⟨10.13182/NSE15-108⟩
Article dans une revue cea-02382795v1
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Contraction rates and projection subspace estimation with Gaussian process priors in high dimension

 Elie Odin , François Bachoc , Agnès Lagnoux
2024
Pré-publication, Document de travail hal-04490400v1
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Fixed-domain asymptotic properties of composite likelihood estimators for Gaussian processes

 François Bachoc , Agnès Lagnoux
Journal of Statistical Planning and Inference, 2020, 209, pp.62-75
Article dans une revue hal-02079975v1
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Bayesian Regression and Classification Using Gaussian Process Priors Indexed by Probability Density Functions

 Anis Fradi , Y. Feunteun , Chafik Samir , M. Bakloul , François Bachoc , et al.
Information Sciences, 2021, ⟨10.1016/j.ins.2020.09.027⟩
Article dans une revue hal-02967770v1
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On the post selection inference constant under restricted isometry properties

 François Bachoc , Gilles Blanchard , Pierre Neuvial
Electronic Journal of Statistics , 2018, 12 (2), ⟨10.1214/18-EJS1490⟩
Article dans une revue hal-03327160v3
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Entropic Variable Boosting for Explainability & Interpretability in Machine Learning

 François Bachoc , Fabrice Gamboa , Jean-Michel Loubes , Laurent Risser
2018
Pré-publication, Document de travail hal-01897642v1

Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC

 Andrés López-Lopera , François Bachoc , Nicolas Durrande , Jérémy Rohmer , Déborah Idier , et al.
International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Jul 2018, Rennes, France. pp.363-381, ⟨10.1007/978-3-030-43465-6_18⟩
Communication dans un congrès hal-02104840v1
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Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis

 Baptiste Broto , François Bachoc , Laura Clouvel , Jean-Marc Martinez
SIAM/ASA Journal on Uncertainty Quantification, 2022, 10, pp.379-403. ⟨10.1137/20M1358839⟩
Article dans une revue hal-02196583v2
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Geometry-induced Implicit Regularization in Deep ReLU Neural Networks

 Joachim Bona-Pellissier , François Malgouyres , François Bachoc
2024
Pré-publication, Document de travail hal-04452356v1

Gaussian process regression model for distribution inputs

 François Bachoc , Fabrice Gamboa , Jean-Michel Loubes , Nil Venet
First UQSay seminar on UQ, DACE and related topics (UQSay #01), Mar 2019, Gif-sur-Yvette, France
Communication dans un congrès hal-03109928v1
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Posterior contraction rates for constrained deep Gaussian processes in density estimation and classification

 François Bachoc , Agnès Lagnoux
2021
Pré-publication, Document de travail hal-03477991v1

Finite-dimensional Gaussian approximation with linear inequality constraints

 Andrés F. López-Lopera , François Bachoc , Nicolas Durrande , Olivier Roustant
SIAM/ASA Journal on Uncertainty Quantification, 2018, 6 (3), pp.1224-1255. ⟨10.1137/17M1153157⟩
Article dans une revue hal-01864332v1

High-dimensional additive Gaussian processes under monotonicity constraints

 Andrés F. López-Lopera , François Bachoc , O Roustant
Advances in Neural Information Processing Systems, Nov 2022, New Orleans, United States
Communication dans un congrès hal-03695058v1
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Asymptotic analysis for covariance parameter estimation of Gaussian processes with functional inputs

 Lucas Reding , Andrés Felipe López-Lopera , François Bachoc
2024
Pré-publication, Document de travail hal-04559892v1
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Semi-parametric estimation of the variogram scale parameter of a Gaussian process with stationary increments

 Jean-Marc Azaïs , François Bachoc , Agnès Lagnoux , Thi Mong Ngoc Nguyen
ESAIM: Probability and Statistics, 2020, 24, pp.842-882. ⟨10.1051/ps/2020021⟩
Article dans une revue hal-03022877v1
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Parameter identifiability of a deep feedforward ReLU neural network

 Joachim Bona-Pellissier , François Bachoc , François Malgouyres
Machine Learning, 2023, 112, pp.4431-4493
Article dans une revue hal-03501784v2
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Rate of convergence for geometric inference based on the empirical Christoffel function

 Mai Trang Vu , François Bachoc , Edouard Pauwels
ESAIM: Probability and Statistics, 2022, 26, pp.171-207. ⟨10.1051/ps/2022003⟩
Article dans une revue hal-03593329v1
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