6 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Institut de Mécanique Céleste et de Calcul des ÉphéméridesFR4 papers
- Laboratoire de Mathématiques d'OrsayFR3 papers
- Université Paris-SaclayFR3 papers
- École Normale Supérieure - PSLFR2 papers
- Argosy UniversityUS1 paper
- Département d'InformatiqueFR1 paper
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'EnvironnementFR1 paper
- Institut PasteurFR1 paper
- Institut Universitaire de FranceFR1 paper
- Laboratoire de Probabilités et Modèles AléatoiresFR1 paper
- Laboratoire de Probabilités, Statistique et ModélisationFR1 paper
- Mathématiques, Informatique et Statistique pour l'Environnement et l'AgronomieFR1 paper
11 papers
Confidence envelopes for the false discoveries with heterogeneous data
Romain Périer, Gilles Blanchard, Sebastian Döhler +2
In the context of selective inference, confidence envelopes for the false discoveries allow the user to select any subset of null hypotheses while having a statistical guarantee on…
Convergence Rates for Distribution Matching with Sliced Optimal Transport
Gauthier Thurin, Claire Boyer, Kimia Nadjahi
We study the slice-matching scheme, an efficient iterative method for distribution matching based on sliced optimal transport. We investigate convergence to the target distribution…
Neutral-Hosts In The Shared Mid-Bands: Addressing Indoor Cellular Performance
Muhammad Iqbal Rochman, Joshua Roy Palathinkal, Vanlin Sathya +2
The 3.55 - 3.7 GHz Citizens Broadband Radio Service (CBRS) band in the U.S., shared with incumbent Navy radars, is witnessing increasing deployments both indoors and outdoors using…
Active clustering with bandit feedback
Victor Thuot, Alexandra Carpentier, Christophe Giraud +1
We investigate the Active Clustering Problem (ACP). A learner interacts with an -armed stochastic bandit with -dimensional subGaussian feedback. There exists a hidden partiti…
Marginal and training-conditional guarantees in one-shot federated conformal prediction
Pierre Humbert, Batiste Le Bars, Aurélien Bellet +1
We study conformal prediction in the one-shot federated learning setting. The main goal is to compute marginally and training-conditionally valid prediction sets, at the server-lev…
Extreme change-point detection
Kevin Bleakley
We examine rules for predicting whether a point in generated from a 50-50 mixture of two different probability distributions came from one distribution or the other, g…
Approximate information maximization for bandit games
Alex Barbier-Chebbah, Christian L. Vestergaard, Jean-Baptiste Masson +1
Entropy maximization and free energy minimization are general physical principles for modeling the dynamics of various physical systems. Notable examples include modeling decision-…
On the convergence of PINNs
Nathan Doumèche, Gérard Biau, Claire Boyer
Physics-informed neural networks (PINNs) are a promising approach that combines the power of neural networks with the interpretability of physical modeling. PINNs have shown good p…
Risk bounds for PU learning under Selected At Random assumption
Olivier Coudray, Christine Keribin, Pascal Massart +1
Positive-unlabeled learning (PU learning) is known as a special case of semi-supervised binary classification where only a fraction of positive examples are labeled. The challenge…
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…
Local asymptotics of cross-validation in least-squares density estimation
Guillaume Maillard
In model selection, several types of cross-validation are commonly used and many variants have been introduced. While consistency of some of these methods has been proven, their ra…