Publications (26)
Detecting Markov Random Fields Hidden in White Noise
Ery Arias-Castro, Sébastien Bubeck, Gábor Lugosi +1
Adaptive estimation of covariance matrices via Cholesky decomposition
Nicolas Verzelen
A Global Homogeneity Test for High-Dimensional Linear Regression
Camille Charbonnier, Nicolas Verzelen, Fanny Villers
Goodness-of-fit Tests for high-dimensional Gaussian linear models
Nicolas Verzelen, Fanny Villers
Data-driven neighborhood selection of a Gaussian field
Nicolas Verzelen
Minimax risks for sparse regressions: Ultra-high-dimensional phenomenons
Nicolas Verzelen
Partial recovery bounds for clustering with the relaxed $K$means
Christophe Giraud, Nicolas Verzelen
Minimax adaptive tests for the Functional Linear model
Nadine Hilgert, André Mas, Nicolas Verzelen
Model Assisted Variable Clustering: Minimax-optimal Recovery and Algorithms
Florentina Bunea, Christophe Giraud, Xi Luo +2
Optimal graphon estimation in cut distance
Olga Klopp, Nicolas Verzelen
High-dimensional regression with unknown variance
Christophe Giraud, Sylvie Huet, Nicolas Verzelen
Estimating minimum effect with outlier selection
Alexandra Carpentier, Sylvain Delattre, Etienne Roquain +1
Adaptive estimation of the sparsity in the Gaussian vector model
Alexandra Carpentier, Nicolas Verzelen
Graph selection with GGMselect
Christophe Giraud, Sylvie Huet, Nicolas Verzelen
Information-theoretic bounds and phase transitions in clustering, sparse PCA, and submatrix localization
Jess Banks, Cristopher Moore, Nicolas Verzelen +2
Detection boundary in sparse regression
Yuri I. Ingster, Alexandre B. Tsybakov, Nicolas Verzelen
Adaptive estimation of stationary Gaussian fields
Nicolas Verzelen
Oracle inequalities for network models and sparse graphon estimation
Olga Klopp, Alexandre B. Tsybakov, Nicolas Verzelen
Community Detection in Random Networks
Ery Arias-Castro, Nicolas Verzelen
Community Detection in Sparse Random Networks
Ery Arias-Castro, Nicolas Verzelen
Adaptive estimation of High-Dimensional Signal-to-Noise Ratios
Nicolas Verzelen, Elisabeth Gassiat
PECOK: a convex optimization approach to variable clustering
Florentina Bunea, Christophe Giraud, Martin Royer +1
Detecting a Path of Correlations in a Network
Ery Arias-Castro, Gábor Lugosi, Nicolas Verzelen
Technical appendix to "Adaptive estimation of stationary Gaussian fields"
Nicolas Verzelen
High-dimensional Gaussian model selection on a Gaussian design
Nicolas Verzelen
Detection and Feature Selection in Sparse Mixture Models
Nicolas Verzelen, Ery Arias-Castro