208 citations
- Centre for Research in Engineering Surface TechnologyIE64 papers
- ENSAE ParisFR53 papers
- Center for Responsible TravelUS34 papers
- Centre de Recherche en Mathématiques de la DécisionFR31 papers
- Université Paris Dauphine-PSLFR25 papers
- École Nationale de la Statistique et de l'Analyse de l'InformationFR19 papers
- Centre National de la Recherche ScientifiqueFR17 papers
- Laboratoire de Probabilités et Modèles AléatoiresFR15 papers
- Criteo (France)FR13 papers
- École PolytechniqueFR10 papers
- University of WarwickGB10 papers
- Centre Inria de SaclayFR9 papers
56 papers · 1 filter
Concentration of the bootstrap empirical process, with applications to statistical inference
Guillaume Maillard, Adrien Saumard
Considering a general framework of bootstrap with exchangeable weights, we show some concentration inequalities for the supremum of the bootstrap empirical process. On the one hand…
A Kernel Two-Sample Test Invariant under Group Action with Applications to Functional Data
Madison Giacofci, Anouar Meynaoui, Alex Podgorny
We introduce a kernel-based two-sample test for comparing probability distributions up to group actions. Our construction yields invariant kernels for locally compact -compact g…
Asymmetric conformal prediction with penalized kernel sum-of-squares
Louis Allain, Sébastien Da Veiga, Brian Staber
Conformal prediction (CP) is a distribution-free method to construct reliable prediction intervals that has gained significant attention in recent years. Despite its success and va…
Goodness-of-fit testing of the distribution of posterior classification probabilities for validating model-based clustering
Salima El Kolei, Matthieu Marbac
We present the first method for assessing the relevance of a model-based clustering result in a general framework. Standard validation criteria, like the adjusted Rand index, rely…
Adaptive Algorithms for Infinitely Many-Armed Bandits: A Unified Framework
Emmanuel Pilliat
We consider a bandit problem where the buget is smaller than the number of arms, which may be infinite. In this regime, the usual objective in the literature is to minimize simple…
On the pointwise and sup-norm errors for local regression estimators
Jérémy Bettinger, François Portier, Adrien Saumard
In this paper, we analyze the behavior of various non-parametric local regression estimators, i.e. estimators that are based on local averaging, for estimating a Lipschitz regressi…