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Inferring stochastic dynamics from functional data
Nicolas N. Verzelen
,
Wenwen Tao
,
Hans-Georg Mueller
Article dans une revue
hal-02651877v1
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Community detection in sparse random networks
Nicolas N. Verzelen
,
Ery Arias-Castro
Article dans une revue
hal-02636783v1
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Minimax risks for sparse regressions : ultra-high dimensional phenomenons
Nicolas N. Verzelen
Article dans une revue
hal-02647512v1
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Optimal graphon estimation in cut distance
Olga Klopp
,
Nicolas Verzelen
Article dans une revue
hal-01490371v2
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Detection boundary in sparse regression
Yuri I. Ingster
,
Alexandre B. Tsybakov
,
Nicolas Verzelen
Article dans une revue
hal-01218273v1
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Community detection in dense random networks
Ery Arias-Castro
,
Nicolas N. Verzelen
Article dans une revue
hal-02636879v1
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Goodness-of-fit tests for high-dimensional Gaussian linear models
Nicolas Verzelen
,
Fanny Villers
[Technical Report] R2007-4, 2007
Rapport
hal-02821227v1
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Estimating minimum effect with outlier selection
Alexandra Carpentier
,
Sylvain Delattre
,
Etienne Roquain
,
Nicolas Verzelen
Article dans une revue
hal-03173293v1
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Community Detection in Sparse Random Networks
Ery Arias-Castro
,
Nicolas Verzelen
2014
Rapport
hal-00851357v2
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High-dimensional Gaussian model selection on a Gaussian design
Nicolas Verzelen
2008
Pré-publication, Document de travail
inria-00311412v2
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Data-driven neighborhood selection of a Gaussian field
Nicolas Verzelen
[Research Report] RR-6798, INRIA. 2009, pp.27
Rapport
inria-00353260v2
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Optimal Sparsity Testing in Linear regression Model
Alexandra Carpentier
,
Nicolas Verzelen
Article dans une revue
hal-02966853v1
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Optimal Change-Point Detection and Localization
Nicolas Verzelen
,
Magalie Fromont
,
Matthieu Lerasle
,
Patricia Reynaud-Bouret
Article dans une revue
hal-04251607v1
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Optimal adaptive estimation of linear functionals under sparsity
Olivier Collier
,
Laëtitia Comminges
,
Alexandre B. Tsybakov
,
Nicolas Verzelen
Article dans une revue
hal-01425801v2
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High-dimensional Gaussian model selection on a Gaussian design
Nicolas N. Verzelen
Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2010, 46 (2), pp.480-524. ⟨10.1214/09-AIHP321⟩
Article dans une revue
hal-02668819v1
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Detection boundary in sparse regression
Yuri I. Ingster
,
Alexandre Tsybakov
,
Nicolas Verzelen
2010
Pré-publication, Document de travail
hal-00516259v1
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Adaptive estimation of covariance matrices via Cholesky decomposition
Nicolas Verzelen
Article dans une revue
hal-01218272v1
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Detection and feature selection in sparse mixture models
Nicolas Verzelen
,
Ery Arias-Castro
Article dans une revue
hal-02624460v1
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Detection of sparse positive dependence
Ery Arias-Castro
,
Rong Huang
,
Nicolas Verzelen
Article dans une revue
hal-02922761v1
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Goodness-of-fit tests for high-dimensional Gaussian linear models
Nicolas N. Verzelen
,
Fanny Villers
Article dans une revue
hal-02661047v1
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Discussion of "Influential features PCA for high dimentional clustering
Ery Arias-Castro
,
Nicolas Verzelen
Article dans une revue
hal-01602929v1
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High-dimensional regression with unknown variance
Christophe Giraud
,
Sylvie Huet
,
Nicolas Verzelen
2012
Pré-publication, Document de travail
hal-00626630v2
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PECOK: a convex optimization approach to variable clustering
Florentina Bunea
,
Christophe Giraud
,
Martin Royer
,
Nicolas Verzelen
2020
Pré-publication, Document de travail
hal-02966884v1
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On the Estimation of Latent Distances Using Graph Distances
Ery Arias-Castro
,
Antoine Channarond
,
Bruno Pelletier
,
Nicolas Verzelen
Article dans une revue
hal-02376073v1
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Optimal multiple change-point detection for high-dimensional data
Emmanuel Pilliat
,
Alexandra Carpentier
,
Nicolas Verzelen
Article dans une revue
hal-04305116v1
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Documenting crop diversity management practices in West-Africa:raising perspectives for improving governance frameworks
Labeyrie Vanesse
,
Christine Raimond
,
Adeline Barnaud
,
Frédérique Jankowski
,
Moussa Sall
,
et al.
International Conference on Ecological Sciences : Sfécologie 2018, Oct 2018, Rennes, France
Poster de conférence
hal-02020354v1
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Localization in 1D non-parametric latent space models from pairwise affinities
Christophe Giraud
,
Yann Issartel
,
Nicolas Verzelen
Article dans une revue
hal-04166788v1
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Partial recovery bounds for clustering with the relaxed $K$-means
Christophe Giraud
,
Nicolas Verzelen
Mathematical Statistics and Learning, 2018, 1 (3), pp.317-374. ⟨10.4171/MSL/8⟩
Article dans une revue
hal-02966834v1
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Adaptive estimation of high-dimensional signal-to-noise ratios
Nicolas Verzelen
,
Elisabeth Gassiat
Article dans une revue
hal-02622458v1
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Graph selection with GGMselect
Christophe Giraud
,
Sylvie Huet
,
Nicolas Verzelen
[Technical Report] 2009-4, 2009
Rapport
hal-02819238v1
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