Search Results for author: Etienne Roquain

Found 5 papers, 3 papers with code

Transductive conformal inference with adaptive scores

1 code implementation27 Oct 2023 Ulysse Gazin, Gilles Blanchard, Etienne Roquain

Conformal inference is a fundamental and versatile tool that provides distribution-free guarantees for many machine learning tasks.

Novelty Detection Transfer Learning

Adaptive novelty detection with false discovery rate guarantee

1 code implementation13 Aug 2022 Ariane Marandon, Lihua Lei, David Mary, Etienne Roquain

This paper studies the semi-supervised novelty detection problem where a set of "typical" measurements is available to the researcher.

Novelty Detection

False membership rate control in mixture models

2 code implementations4 Mar 2022 Ariane Marandon, Tabea Rebafka, Etienne Roquain, Nataliya Sokolovska

In this paper the approach is revisited in an unsupervised mixture model framework and the purpose is to develop a method that comes with the guarantee that the false membership rate (FMR) does not exceed a pre-defined nominal level $\alpha$.

Attribute Clustering

Empirical Bayes cumulative $\ell$-value multiple testing procedure for sparse sequences

no code implementations1 Feb 2021 Kweku Abraham, Ismael Castillo, Etienne Roquain

In the sparse sequence model, we consider a popular Bayesian multiple testing procedure and investigate for the first time its behaviour from the frequentist point of view.

Statistics Theory Statistics Theory 62G10 (Primary) 62C12 (Secondary)

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