13 citations · 48 across the 24 of their papers we have counts for
4 papers · 1 filter
Detection of Sparse Positive Dependence
Ery Arias-Castro, Rong Huang, Nicolas Verzelen
In a bivariate setting, we consider the problem of detecting a sparse contamination or mixture component, where the effect manifests itself as a positive dependence between the var…
Estimating minimum effect with outlier selection
Alexandra Carpentier, Sylvain Delattre, Etienne Roquain +1
We introduce one-sided versions of Huber's contamination model, in which corrupted samples tend to take larger values than uncorrupted ones. Two intertwined problems are addressed:…
Partial recovery bounds for clustering with the relaxed means
Christophe Giraud, Nicolas Verzelen
We investigate the clustering performances of the relaxed means in the setting of sub-Gaussian Mixture Model (sGMM) and Stochastic Block Model (SBM). After identifying the appro…
On the Estimation of Latent Distances Using Graph Distances
Ery Arias-Castro, Antoine Channarond, Bruno Pelletier +1
We are given the adjacency matrix of a geometric graph and the task of recovering the latent positions. We study one of the most popular approaches which consists in using the grap…