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20112021
most citedTheoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier

4 citations · 10 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LG2021

Error rate control for classification rules in multiclass mixture models

Tristan Mary-Huard, Vittorio Perduca, Gilles Blanchard +1

In the context of finite mixture models one considers the problem of classifying as many observations as possible in the classes of interest while controlling the classification er…

stat.ME2021★ 3 cited

Querying multiple sets of -values through composed hypothesis testing

Tristan Mary-Huard, Sarmistha Das, Indranil Mukhopadhyay +1

Motivation: Combining the results of different experiments to exhibit complex patterns or to improve statistical power is a typical aim of data integration. The starting point of t…

math.ST2015★ 4 cited

Theoretical analysis of cross-validation for estimating the risk of the k-Nearest Neighbor classifier

Alain Celisse, Tristan Mary-Huard

The present work aims at deriving theoretical guaranties on the behavior of some cross-validation procedures applied to the -nearest neighbors (NN) rule in the context of bin…

math.ST2015

Estimating the number of change-points in a two-dimensional segmentation model without penalization

V. Brault, M. Delattre, E. Lebarbier +2

In computational biology, numerous recent studies have been dedicated to the analysis of the chromatin structure within the cell by two-dimensional segmentation methods. Motivated…

stat.ME2014★ 3 cited

Structured Regularization for conditional Gaussian Graphical Models

Julien Chiquet, Tristan Mary-Huard, Stéphane Robin

Conditional Gaussian graphical models (cGGM) are a recent reparametrization of the multivariate linear regression model which explicitly exhibits the partial covariances betwe…

math.ST2011

Risk Bounds for Embedded Variable Selection in Classification Trees

Servane Gey, Tristan Mary-Huard

The problems of model and variable selections for classification trees are jointly considered. A penalized criterion is proposed which explicitly takes into account the number of v…