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hal-01962294v1  Preprints, Working Papers, ...
François Bachoc, Marc G. Genton, Klaus Nordhausen, Anne Ruiz-Gazen, Joni Virta. Spatial Blind Source Separation
2018
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tel-01940281v1  Habilitation à diriger des recherches
François Bachoc. Contributions aux processus gaussiens, à la quantification d'incertitudes et à l’inférence post-sélection de modèle
Statistiques [math.ST]. Université Toulouse 3 - Paul Sabatier; Institut de mathématiques de toulouse, 2018
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hal-01294547v1  Preprints, Working Papers, ...
Velandia Daira, François Bachoc, Bevilacqua Moreno, Gendre Xavier, Jean-Michel Loubes. Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics
2016
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hal-01962010v2  Preprints, Working Papers, ...
Baptiste Broto, François Bachoc, Marine Depecker. Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution
2020
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hal-02535987v1  Preprints, Working Papers, ...
François Bachoc, Théo Barthe, Thomas Santner, Yann Richet. Sequential Design of Mixture Experiments with an Empirically Determined Input Domain and an Application to Burn-up Credit Penalization of Nuclear Fuel Rods
2020
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hal-01845283v2  Preprints, Working Papers, ...
François Bachoc, Moreno Bevilacqua, Daira Velandia. Composite likelihood estimation for a Gaussian process under fixed domain asymptotics
2018
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hal-01450002v2  Journal articles
François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Nil Venet. A Gaussian Process Regression Model for Distribution Inputs
IEEE Transactions on Information Theory, Institute of Electrical and Electronics Engineers, 2018, 64 (10), pp.6620 - 6637
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hal-01680687v3  Preprints, Working Papers, ...
Baptiste Broto, François Bachoc, Marine Depecker, Jean-Marc Martinez. Sensitivity indices for independent groups of variables
2019
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hal-02196583v2  Preprints, Working Papers, ...
Baptiste Broto, François Bachoc, Laura Clouvel, Jean-Marc Martinez. Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis
2020
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hal-02100819v2  Journal articles
François Bachoc, Céline Helbert, Victor Picheny. Gaussian process optimization with failures: classification and convergence proof
Journal of Global Optimization, Springer Verlag, In press
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hal-01216697v1  Preprints, Working Papers, ...
François Bachoc, Jean-Marc Martinez, Karim Ammar. Improvement of code behaviour in a design of experiments by metamodeling
2015
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hal-01267398v1  Journal articles
François Bachoc, Reinhard Furrer. On the smallest eigenvalues of covariance matrices of multivariate spatial processes
Stat, John Wiley & Sons, 2016, 5 (1), pp.102-107. ⟨10.1002/sta4.107⟩
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hal-01597076v1  Journal articles
Daira Velandia, Moreno Bevilacqua, François Bachoc, Xavier Gendre, Jean-Michel Loubes. Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2017, 11 (2), pp.2978-3007. ⟨10.1214/17-EJS1298⟩
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hal-01998724v2  Journal articles
José Betancourt, François Bachoc, Thierry Klein, Déborah Idier, Rodrigo Pedreros et al.  Gaussian process metamodeling of functional-input code for coastal flood hazard assessment
Reliability Engineering and System Safety, Elsevier, 2020, 198, ⟨10.1016/j.ress.2020.106870⟩
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hal-02536624v1  Preprints, Working Papers, ...
José Betancourt, François Bachoc, Thierry Klein. Gaussian Process Regression for Scalar and Functional Inputs with funGp - The in-depth tour
2020
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hal-01345959v3  Journal articles
Didier Rullière, Nicolas Durrande, François Bachoc, Clément Chevalier. Nested Kriging predictions for datasets with large number of observations
Statistics and Computing, Springer Verlag (Germany), 2018, 28 (4), pp.849-867. ⟨10.1007/s11222-017-9766-2⟩
hal-01864332v1  Journal articles
Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant. Finite-dimensional Gaussian approximation with linear inequality constraints
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2018, 6 (3), pp.1224-1255. ⟨10.1137/17M1153157⟩
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hal-01688329v2  Preprints, Working Papers, ...
Malek Ben Salem, François Bachoc, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso. Sequential dimension reduction for learning features of expensive black-box functions
2019
hal-01864340v1  Journal articles
François Bachoc, Agnès Lagnoux, Andrés F. López-Lopera. Maximum likelihood estimation for Gaussian processes under inequality constraints
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2019, 13 (2), pp.2921-2969
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hal-02976018v2  Directions of work or proceedings
François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz. The sample complexity of level set approximation
2021, Proceedings of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021)
hal-03097220v1  Conference papers
Julien Bect, François Bachoc, David Ginsbourger. Uncertainty functionals and the greedy reduction of uncertainty
Workshop on "Design of Experiments: New Challenges", Apr 2018, CIRM, Marseille, France
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hal-01772538v2  Journal articles
François Bachoc, Gilles Blanchard, Pierre Neuvial. On the Post Selection Inference constant under Restricted Isometry Properties
Electronic journal of statistics , Shaker Heights, OH : Institute of Mathematical Statistics, 2018, ⟨10.1214/18-ejs1490⟩
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cea-02382795v1  Journal articles
François Bachoc, Karim Ammar, Jean-Marc Martinez. Improvement of code behavior in a design of experiments by metamodeling
Nuclear Science and Engineering, Academic Press, 2016, 183 (3), pp.387-406. ⟨10.13182/NSE15-108⟩
hal-03109928v1  Conference papers
François Bachoc. Gaussian process regression model for distribution inputs
First UQSay seminar on UQ, DACE and related topics (UQSay #01), Mar 2019, Gif-sur-Yvette, France
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hal-01351088v4  Journal articles
Julien Bect, François Bachoc, David Ginsbourger. A supermartingale approach to Gaussian process based sequential design of experiments
Bernoulli, Bernoulli Society for Mathematical Statistics and Probability, 2019, 25 (4A), pp.2883-2919. ⟨10.3150/18-bej1074⟩
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hal-01802830v3  Journal articles
Jean-Marc Azaïs, François Bachoc, Agnès Lagnoux, Thi Mong Ngoc Nguyen. Semi-parametric estimation of the variogram of a Gaussian process with stationary increments
ESAIM: Proceedings and Surveys, EDP Sciences, 2020, pp.842 - 882
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hal-03129721v1  Preprints, Working Papers, ...
François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz. The Sample Complexities of Global Lipschitz Optimization
2021
hal-02458084v1  Journal articles
Déborah Idier, Axel Aurouet, François Bachoc, Audrey Baills, José Betancourt et al.  Toward a User-Based, Robust and Fast Running Method for Coastal Flooding Forecast, Early Warning, and Risk Prevention
Journal of Coastal Research, Coastal Education and Research Foundation, 2020, Special issue : Proceedings from the International Coastal Symposium (ICS) 2020, 95, pp.11-15. ⟨10.2112/SI95-216.1⟩

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