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Random Geometric Graph: Some recent developments and perspectives
Quentin Duchemin
,
Yohann de Castro
High Dimensional Probability volume IX, In press
Chapitre d'ouvrage
hal-03622277v2
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Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)
Yohann de Castro
,
Luca Mencarelli
2021
Pré-publication, Document de travail
hal-03134099v1
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Markov Random Geometric Graph (MRGG): A Growth Model for Temporal Dynamic Networks
Quentin Duchemin
,
Yohann de Castro
Article dans une revue
hal-02865542v3
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SIGLE: a valid procedure for Selective Inference with the Generalized Linear Lasso
Quentin Duchemin
,
Yohann de Castro
2023
Pré-publication, Document de travail
hal-03622196v3
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Minimax Estimation of Partially-Observed Vector AutoRegressions
Guillaume Dalle
,
Yohann de Castro
2022
Pré-publication, Document de travail
hal-03263275v3
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Multiple Testing and Variable Selection along Least Angle Regression's path
Jean-Marc Azaïs
,
Yohann de Castro
Article dans une revue
hal-02170476v1
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Latent distance estimation for random geometric graphs
Ernesto Araya Valdivia
,
Yohann de Castro
Conference on Neural Information Processing Systems 2019, NeurIPS 2019, Dec 2019, Vancouver (CA), Canada
Communication dans un congrès
hal-04170474v1
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Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems
Yohann de Castro
,
Vincent Duval
,
Romain Petit
Article dans une revue
hal-03406710v3
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Concentration inequality for U-statistics of order two for uniformly ergodic Markov chains
Quentin Duchemin
,
Yohann de Castro
,
Claire Lacour
Article dans une revue
hal-03014763v4
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Exact recovery of the support of piecewise constant images via total variation regularization
Yohann de Castro
,
Vincent Duval
,
Romain Petit
2023
Pré-publication, Document de travail
hal-04171496v2
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Régularisation par la variation totale pour l'identification du support d'images constantes par morceaux
Yohann de Castro
,
Vincent Duval
,
Romain Petit
GRETSI 2023 - XXIXème Colloque Francophone de Traitement du Signal et des Images, Aug 2023, Grenoble, France
Communication dans un congrès
hal-04171535v1
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Towards Off-the-grid Algorithms for Total Variation Regularized Inverse Problems
Yohann de Castro
,
Vincent Duval
,
Romain Petit
Elmoataz, Abderrahim; Fadili, Jalal; Quéau, Yvain; Rabin, Julien; Simon, Loïc. Scale Space and Variational Methods in Computer Vision, 12679, Springer, Cham, pp.553-564, 2021, Lecture Notes in Computer Sciences, ⟨10.1007/978-3-030-75549-2_44⟩
Chapitre d'ouvrage
hal-03196916v2
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Three rates of convergence or separation via U-statistics in a dependent framework
Quentin Duchemin
,
Yohann de Castro
,
Claire Lacour
Journal of Machine Learning Research, 2022, 23 (201), pp.1-59
Article dans une revue
hal-03603516v1
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Reconstructing undirected graphs from eigenspaces
Yohann de Castro
,
Thibault Espinasse
,
Paul Rochet
Journal of Machine Learning Research, 2017
Article dans une revue
hal-01588125v1
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FastPart: Over-Parameterized Stochastic Gradient Descent for Sparse optimisation on Measures
Yohann de Castro
,
Sébastien Gadat
,
Clément Marteau
2023
Pré-publication, Document de travail
hal-04344130v1
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Neural Networks beyond explainability: Selective inference for sequence motifs
Antoine Villié
,
Philippe Veber
,
Yohann de Castro
,
Laurent Jacob
Article dans une revue
hal-03895446v1
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Adaptive Estimation of Nonparametric Geometric Graphs
Yohann de Castro
,
Claire Lacour
,
Thanh Mai Pham Ngoc
Article dans une revue
hal-01570489v2
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SuperMix: Sparse Regularization for Mixtures
Yohann de Castro
,
Sébastien Gadat
,
Clément Marteau
,
Cathy Maugis
Article dans une revue
hal-02190117v2
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Estimating the transition matrix of a Markov chain observed at random times
Flavia Barsotti
,
Yohann de Castro
,
Thibault Espinasse
,
Paul Rochet
Article dans une revue
hal-00986360v1
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Dual optimal design and the Christoffel-Darboux polynomial
Yohann de Castro
,
Fabrice Gamboa
,
Didier Henrion
,
Jean B Lasserre
Article dans une revue
hal-02931534v2
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