1 citations · 1 across the 5 of their papers we have counts for
7 papers
On strongly coherent confidence envelopes for the false discoveries
Romain Périer, Gilles Blanchard, Guillermo Durand
Coherence is a long term notion in the literature of multiple testing. From FWER control multiple testing theory to confidence envelopes on the number of false positives, coherence…
A Topological Sorting Criterion for Random Causal Directed Acyclic Graphs
Alexander G. Reisach, Antoine Chambaz, Gilles Blanchard +1
Random directed acyclic graphs (DAGs) based on imposing an order on Erdős-Rényi and scale free random graphs are widely used for evaluating causal discovery algorithms. We show tha…
A phase transition in Erdős-Barak random graphs
Gilles Blanchard, Nicolas Curien, Klara Krause +1
We study monotone paths in Erdős-Rényi random graphs on numbered vertices. Benjamini & Tzalik established a phase transition at for this model. We refine the…
Supervised Contamination Detection, with Flow Cytometry Application
Solenne Gaucher, Gilles Blanchard, Frédéric Chazal
The contamination detection problem aims to determine whether a set of observations has been contaminated, i.e. whether it contains points drawn from a distribution different from…
FDR control and FDP bounds for conformal link prediction
Gilles Blanchard, Guillermo Durand, Ariane Marandon-Carlhian +1
In Marandon (2023), the author introduces a procedure to detect true edges from a partially observed graph using a conformal prediction fashion: first computing scores from a train…
Transductive conformal inference with adaptive scores
Ulysse Gazin, Gilles Blanchard, Etienne Roquain
Conformal inference is a fundamental and versatile tool that provides distribution-free guarantees for many machine learning tasks. We consider the transductive setting, where deci…
Fast rates for prediction with limited expert advice
El Mehdi Saad, Gilles Blanchard
We investigate the problem of minimizing the excess generalization error with respect to the best expert prediction in a finite family in the stochastic setting, under limited acce…