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	Pour les 66 documents Envoyer sur ORCID RSS ATOM Exporter BibTeX XML-TEI CSV RTF EndNote PDF HTML Export avancé	Page : Page précédente 1 2 3 Page suivante	triés par Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante

		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Geometry-induced Implicit Regularization in Deep ReLU Neural Networks Joachim Bona-Pellissier , François Malgouyres , François Bachoc 2024 Pré-publication, Document de travail hal-04452356v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		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	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Calibration and improved prediction of computer models by universal Kriging François Bachoc , Guillaume Bois , Josselin Garnier , Jean-Marc Martinez Nuclear Science and Engineering, 2014, 176 (1), pp.81-97. ⟨10.13182/NSE12-55⟩ Article dans une revue hal-01020594v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates François Bachoc , Tommaso R Cesari , Sébastien Gerchinovitz NeurIPS 2021, Dec 2021, Virtual conference, France. 24 p Communication dans un congrès hal-03129721v4	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Properties and comparison of some Kriging sub-model aggregation methods François Bachoc , Nicolas Durrande , Didier Rullière , Clément Chevalier Mathematical Geosciences, 2022, 54, pp.941--977. ⟨10.1007/s11004-021-09986-2⟩ Article dans une revue hal-01561747v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Asymptotic properties of multivariate tapering for estimation and prediction Reinhard Furrer , François Bachoc , Juan Du 2015 Pré-publication, Document de travail hal-01203600v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Nested Kriging predictions for datasets with large number of observations Didier Rullière , Nicolas Durrande , François Bachoc , Clément Chevalier Statistics and Computing, 2018, 28 (4), pp.849-867. ⟨10.1007/s11222-017-9766-2⟩ Article dans une revue hal-01345959v3	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Spatial Blind Source Separation François Bachoc , Marc G. Genton , Klaus Nordhausen , Anne Ruiz-Gazen , Joni Virta 2018 Pré-publication, Document de travail hal-01962294v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		The sample complexity of level set approximation François Bachoc , Tommaso R Cesari , Sébastien Gerchinovitz AISTATS 2021, Apr 2021, virtual, United States. pp.424-432 Communication dans un congrès hal-02976018v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution Baptiste Broto , François Bachoc , Marine Depecker SIAM/ASA Journal on Uncertainty Quantification, 2020, 8, pp.693-716. ⟨10.1137/18M1234631⟩ Article dans une revue hal-01962010v2	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Gaussian linear approximation for the estimation of the Shapley effects Baptiste Broto , François Bachoc , Marine Depecker , Jean-Marc Martinez SIAM/ASA Journal on Uncertainty Quantification, 2021, 9, pp.1132-1151. ⟨10.1137/20M1342884⟩ Article dans une revue hal-02737005v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		On the smallest eigenvalues of covariance matrices of multivariate spatial processes François Bachoc , Reinhard Furrer Stat, 2016, 5 (1), pp.102-107. ⟨10.1002/sta4.107⟩ Article dans une revue hal-01267398v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More
		Partitioning the contributions of dependent offshore forcing conditions in the probabilistic assessment of future coastal flooding Jeremy Rohmer , Déborah Idier , Rémi Thiéblemont , Gonéri Le Cozannet , François Bachoc Rencontres MEXICO (MÉTHODES POUR L'EXPLORATION INFORMATIQUE DES MODÈLES COMPLEXES) 2022, Nov 2022, Cestas Gazinet, France Communication dans un congrès hal-03852984v1	Envoyer sur ORCID Exporter BibTeX XML-TEI Dublin Core DC Terms EndNote DataCite Export avancé Partager Gmail Facebook X LinkedIn More

Filtrer vos résultats

Finite-dimensional Gaussian approximation with linear inequality constraints

High-dimensional additive Gaussian processes under monotonicity constraints

Geometry-induced Implicit Regularization in Deep ReLU Neural Networks

Gaussian process regression model for distribution inputs

Posterior contraction rates for constrained deep Gaussian processes in density estimation and classification

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

Hastings-Metropolis algorithm on Markov chains for small-probability estimation

A Gaussian Process Regression Model for Distribution Inputs

Gaussian process optimization with failures: classification and convergence proof

A User-Oriented Local Coastal Flooding Early Warning System Using Metamodelling Techniques

Maximum likelihood estimation for a bivariate Gaussian process under fixed domain asymptotics

Cross-validation estimation of covariance parameters under fixed-domain asymptotics

Entropic Variable Boosting for Explainability & Interpretability in Machine Learning

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

Contraction rates and projection subspace estimation with Gaussian process priors in high dimension

Fixed-domain asymptotic properties of composite likelihood estimators for Gaussian processes

Bayesian Regression and Classification Using Gaussian Process Priors Indexed by Probability Density Functions

On the post selection inference constant under restricted isometry properties

Block-diagonal covariance estimation and application to the Shapley effects in sensitivity analysis

Calibration and improved prediction of computer models by universal Kriging

Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates

Properties and comparison of some Kriging sub-model aggregation methods

Asymptotic properties of multivariate tapering for estimation and prediction

Nested Kriging predictions for datasets with large number of observations

Spatial Blind Source Separation

The sample complexity of level set approximation

Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution

Gaussian linear approximation for the estimation of the Shapley effects

On the smallest eigenvalues of covariance matrices of multivariate spatial processes

Partitioning the contributions of dependent offshore forcing conditions in the probabilistic assessment of future coastal flooding