3.5k citations · 4.1k across the 23 of their papers we have counts for
25 papers
Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection
Dhia-Elhaq Ouerfelli, Sylvain Arlot, Kevin Bleakley +1
We consider the post-detection analysis of change-points for multivariate time series, with the goal of identifying which coordinates are responsible for a detected change. After a…
One-Shot Federated Conformal Prediction
Pierre Humbert, Batiste Le Bars, Aurélien Bellet +1
In this paper, we introduce a conformal prediction method to construct prediction sets in a oneshot federated learning setting. More specifically, we define a quantile-of-quantiles…
A Conditional Randomization Test for Sparse Logistic Regression in High-Dimension
Binh T. Nguyen, Bertrand Thirion, Sylvain Arlot
Identifying the relevant variables for a classification model with correct confidence levels is a central but difficult task in high-dimension. Despite the core role of sparse logi…
Online Orthogonal Matching Pursuit
El Mehdi Saad, Gilles Blanchard, Sylvain Arlot
Greedy algorithms for feature selection are widely used for recovering sparse high-dimensional vectors in linear models. In classical procedures, the main emphasis was put on the s…
Aggregation of Multiple Knockoffs
Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion +1
We develop an extension of the Knockoff Inference procedure, introduced by Barber and Candes (2015). This new method, called Aggregation of Multiple Knockoffs (AKO), addresses the…
Aggregated Hold-Out
Guillaume Maillard, Sylvain Arlot, Matthieu Lerasle
Aggregated hold-out (Agghoo) is a method which averages learning rules selected by hold-out (that is, cross-validation with a single split). We provide the first theoretical guaran…