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107 résultats
Truncation error of a superposed gamma process in a decreasing order representationNIPS Meeting, Dec 2016, Barcelone, Spain
Communication dans un congrès
hal-01667804v1
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Bayesian nonparametric clusteringSchool of Statistics for Astrophysics: Bayesian methodology, Oct 2017, Autrans, France
Communication dans un congrès
hal-01667760v1
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Bayesian Statistical Learning and ApplicationsMethodology [stat.ME]. Université grenoble Alpes, CNRS, Institut des Géosciences et de l'Environnement, 2019
HDR
tel-02429156v1
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Clustering Milky Way's Globulars: a Bayesian Nonparametric ApproachStatistics for Astrophysics: Bayesian Methodology, pp.113-137, 2018
Chapitre d'ouvrage
hal-01950656v1
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Investigating predictive probabilities of Gibbs-type priorsMathematical Methods of Modern Statistics, Jul 2017, Marseille, France
Communication dans un congrès
hal-01667765v1
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Bayesian nonparametric mixture models and clusteringWorkshop 'New challenges in statistics for social sciences', Oct 2017, Venise, Italy
Communication dans un congrès
hal-01667755v1
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Bayesian Nonparametric Mixtures Why and How?IFSS 2018 - 2nd Italian-French Statistics Seminar, Sep 2018, Grenoble, France
Poster de conférence
hal-01950664v1
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Some distributional properties of Bayesian neural networksWorkshop on Bayesian nonparametrics, Jul 2018, Bordeaux, France
Communication dans un congrès
hal-01950667v1
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Approximating predictive probabilities of Gibbs-type priorsERCIM - 10th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2017, London, United Kingdom
Communication dans un congrès
hal-01667746v1
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Probabilités de découverte d'espèces: Bayes à la rescousse de Good & TuringJournées Scientifiques d'Inria, Jun 2017, Sophia Antipolis, France
Communication dans un congrès
hal-01667788v1
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Estimation des flux d’immigration : réconciliation de deux sources par une approche bayésienneEconomie et Statistique / Economics and Statistics, 2016, 483-484-485, pp.121-149
Article dans une revue
hal-01396606v1
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Cold Posteriors through PAC-Bayes2022
Pré-publication, Document de travail
hal-03791457v1
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Sequential Quasi Monte Carlo for Dirichlet Process Mixture ModelsNIPS - Conference on Neural Information Processing Systems, Dec 2016, Barcelone, Spain
Communication dans un congrès
hal-01405568v1
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On the sub-Gaussianity of the Beta and Dirichlet distributionsElectronic Communications in Probability, 2017, 22 (paper no. 54), pp.1-14. ⟨10.1214/17-ECP92⟩
Article dans une revue
hal-01521300v1
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Discussion of Sequential quasi Monte CarloJournal of the Royal Statistical Society: Series B, 2015, 77 (3), pp.559-560. ⟨10.1111/rssb.12104⟩
Article dans une revue
hal-01970234v1
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Chinese restaurant process from stick-breaking for Pitman-YorBayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France. pp.1
Poster de conférence
hal-01950662v1
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Introduction to Bayesian nonparametric statisticsSéminaire de Statistique au sommet de Rochebrune, Mar 2018, Megève, France
Communication dans un congrès
hal-01950668v1
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Bayesian nonparametric inference for discovery probabilitiesYES VIII Workshop on Uncertainty Quantification, Jan 2017, Eindhoven, Netherlands
Communication dans un congrès
hal-01667794v1
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A moment-matching Ferguson & Klass algorithmStatistics and Computing, 2017, 27 (1), pp.3-17. ⟨10.1007/s11222-016-9676-8⟩
Article dans une revue
hal-01396587v1
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Approximating predictive probabilities of Gibbs-type priorsSankhya A, 2021, 83, pp.496-519. ⟨10.1007/s13171-019-00187-y⟩
Article dans une revue
hal-01693333v1
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A simple proof of Pitman-Yor's Chinese restaurant process from its stick-breaking representationDependence Modeling, 2019, 7 (1), pp.45-52. ⟨10.1515/demo-2019-0003⟩
Article dans une revue
hal-01950653v1
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Imposing Gaussian Pre-Activations in a Neural NetworkJDS 2022 - 53es Journées de Statistique de la Société Française de Statistiques (SFdS), Jun 2022, Lyon, France
Communication dans un congrès
hal-03853790v1
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Beta and Dirichlet sub-GaussianityBayesian learning theory for complex data modelling Workshop, Sep 2018, Grenoble, France
Poster de conférence
hal-01950665v1
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Truncation error of a superposed gamma process in a decreasing order representationArgiento, R.; Lanzarone, E.; Antoniano Villalobos, I.; Mattei, A. Bayesian Statistics in Action, 194, , pp.11--19, 2017, Bayesian Statistics in Action
Chapitre d'ouvrage
hal-01405580v1
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Comment on Article by Wade and Ghahramani2018
Pré-publication, Document de travail
hal-01950655v1
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Bayesian neural networks increasingly sparsify their units with depth2018
Pré-publication, Document de travail
hal-01950657v1
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Dirichlet process mixtures under affine transformations of the dataComputational Statistics, 2021, 36, pp.577-601. ⟨10.1007/s00180-020-01013-y⟩
Article dans une revue
hal-01950652v2
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Bayesian neural networks become heavier-tailed with depthNeurIPS 2018 - Thirty-second Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada. pp.1-7
Communication dans un congrès
hal-01950658v1
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Non parametric Bayesian priors for hidden Markov random fields: application to image segmentationBNPSI 2018 : Workshop on Bayesian non parametrics for signal and image processing, Jul 2018, Bordeaux, France
Communication dans un congrès
hal-01941687v1
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Dependence between Bayesian neural network unitsBDL 2021 - Workshop. Bayesian Deep Learning NeurIPS, Dec 2021, Montreal, Canada. pp.1-9
Communication dans un congrès
hal-03449211v1
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