13 citations
- Centre Inria de SaclayFR10 papers
- Criteo (France)FR9 papers
- Centre de Recherche en Économie et StatistiqueFR5 papers
- Institut de Mécanique Céleste et de Calcul des ÉphéméridesFR4 papers
- Université Toulouse III - Paul SabatierFR4 papers
- École PolytechniqueFR3 papers
- ENSAE ParisFR3 papers
- Institut de Mathématiques de ToulouseFR3 papers
- Institut National des Sciences Appliquées de ToulouseFR3 papers
- Laboratoire de Mathématiques d'OrsayFR3 papers
- CEA Paris-SaclayFR2 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR2 papers
20 papers
Cluster Size Matters: A Comparative Study of Notip and pARI for Post Hoc Inference in fMRI
Nils Peyrouset, Pierre Neuvial, Bertrand Thirion
All Resolutions Inference (ARI) is a post hoc inference method for functional Magnetic Resonance Imaging (fMRI) data analysis that provides valid lower bounds on the proportion of…
On the Wasserstein Geodesic Principal Component Analysis of probability measures
Nina Vesseron, Elsa Cazelles, Alice Le Brigant +1
This paper focuses on Geodesic Principal Component Analysis (GPCA) on a collection of probability distributions using the Otto-Wasserstein geometry. The goal is to identify geodesi…
Shill Bidding Prevention in Decentralized Auctions Using Smart Contracts
M. A. Bouaicha, G. Destefanis, T. Montanaro +2
In online auctions, fraudulent behaviors such as shill bidding pose significant risks. This paper presents a conceptual framework that applies dynamic, behavior-based penalties to…
Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport
Lorenzo Croissant
Linear bandits have long been a central topic in online learning, with applications ranging from recommendation systems to adaptive clinical trials. Their general learnability has…
Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet
We consider the classical multi-armed bandit problem, but with strategic arms. In this context, each arm is characterized by a bounded support reward distribution and strategically…
On Tradeoffs in Learning-Augmented Algorithms
Ziyad Benomar, Vianney Perchet
The field of learning-augmented algorithms has gained significant attention in recent years. These algorithms, using potentially inaccurate predictions, must exhibit three key prop…