10 citations · 20 across the 19 of their papers we have counts for
3 papers · 1 filter
Phase transitions for support recovery under local differential privacy
Cristina Butucea, Amandine Dubois, Adrien Saumard
We address the problem of variable selection in a high-dimensional but sparse mean model, under the additional constraint that only privatised data are available for inference. The…
Relaxing the Gaussian assumption in Shrinkage and SURE in high dimension
Max Fathi, Larry Goldstein, Gesine Reinert +1
Shrinkage estimation is a fundamental tool of modern statistics, pioneered by Charles Stein upon his discovery of the famous paradox involving the multivariate Gaussian. A large po…
K-bMOM: a robust Lloyd-type clustering algorithm based on bootstrap Median-of-Means
Camille Brunet-Saumard, Edouard Genetay, Adrien Saumard
We propose a new clustering algorithm that is robust to the presence of outliers in the dataset. We perform Lloyd-type iterations with robust estimates of the centroids. More preci…