68 citations
- Centre de Recherche en Économie et StatistiqueFR25 papers
- ENSAE ParisFR22 papers
- Institut de recherche mathématique de RennesFR11 papers
- Centre for Research in Engineering Surface TechnologyIE10 papers
- Centre National de la Recherche ScientifiqueFR10 papers
- Université de RennesFR10 papers
- Institut National des Sciences Appliquées de RennesFR3 papers
- Orange (France)FR3 papers
- Université Paris-SaclayFR3 papers
- Astrophysique, Instrumentation et ModélisationFR2 papers
- Bocconi UniversityIT2 papers
- Département mathématiques, informatique, sciences de la donnée et technologies du numériqueFR2 papers
55 papers
A uniform relative deviation inequality for VC-subgraph classes
François Portier
We establish a new Bernstein-type deviation inequality for classes of functions whose complexity is characterized through subgraphs. The inequality is non-asymptotic, involves expl…
Importance Sampling Optimization with Laplace Principle
Radu-Alexandru Dragomir, François Portier, Victor Priser
Grid search and random search are widely used techniques for hyperparameter tuning in machine learning, especially when gradient information is unavailable. In these methods, a fin…
High-Performance Portable GPU Primitives for Arbitrary Types and Operators in Julia
Emmanuel Pilliat
Portable GPU frameworks such as Kokkos and RAJA reduce the burden of cross-architecture development but typically incur measurable overhead on fundamental parallel primitives relat…
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…
Model-Based Clustering of Football Event Sequences: A Marked Spatio-Temporal Point Process Mixture Approach
Koffi Amezouwui, Brigitte Gelein, Matthieu Marbac +1
We propose a novel mixture model for football event data that clusters entire possessions to reveal their temporal, sequential, and spatial structure. Each mixture component models…