3 citations
- Laboratoire de Mathématiques d'OrsayFR4 papers
- CEA Paris-Saclay - Etablissement de SaclayFR1 paper
- Centre Inria de SaclayFR1 paper
- Criteo (France)FR1 paper
- École Nationale d'AdministrationSN1 paper
- École PolytechniqueFR1 paper
- EDF Energy (United Kingdom)GB1 paper
- FAIRPLAY: IA coopérative : équité, vie privée, incitationsFR1 paper
- Institut de Mécanique Céleste et de Calcul des ÉphéméridesFR1 paper
- Laboratoire de l'Informatique du ParallélismeFR1 paper
- Unité de Mathématiques Pures et AppliquéesFR1 paper
- Université Paris-SaclayFR1 paper
5 papers
GraphToolbox: A Configurable Python Framework for Graph Neural Network Forecasting
Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude +1
Electricity forecasting often involves spatially related signals observed over regions, substations, and feeders, and Graph Neural Networks (GNNs) provide a natural way to represen…
Extreme classification: beating chance with one training example from each class
Kevin Bleakley, Aaditya Ramdas
We study a minimal classification problem: Given independent labeled observations and from two unknown distributions , and given an independent target …
A survey on multi-player bandits
Etienne Boursier, Vianney Perchet
Due mostly to its application to cognitive radio networks, multiplayer bandits gained a lot of interest in the last decade. A considerable progress has been made on its theoretical…
On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits
Antoine Barrier, Aurélien Garivier, Gilles Stoltz
We lay the foundations of a non-parametric theory of best-arm identification in multi-armed bandits with a fixed budget T. We consider general, possibly non-parametric, models D fo…
Contextual Bandits with Knapsacks for a Conversion Model
Zhen Li, Gilles Stoltz
We consider contextual bandits with knapsacks, with an underlying structure between rewards generated and cost vectors suffered. We do so motivated by sales with commercial discoun…