61 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR5 papers
- ENSAE ParisFR5 papers
- Commissariat à l'Énergie Atomique et aux Énergies AlternativesFR3 papers
- Groupement de Recherche et d'Études en Gestion d’HECFR3 papers
- CEA Paris-SaclayFR2 papers
- Centre de Recherche en Économie et StatistiqueFR2 papers
- Électricité de France (France)FR2 papers
- HEC Paris in QatarQA2 papers
- Institut de Mécanique Céleste et de Calcul des ÉphéméridesFR2 papers
- Laboratoire de Mathématiques d'OrsayFR2 papers
- Libera Università Internazionale degli Studi Sociali Guido CarliIT2 papers
- Robert Bosch (India)IN2 papers
4 papers · 1 filter
Conformal Prediction for Hierarchical Data
Guillaume Principato, Gilles Stoltz, Yvenn Amara-Ouali +3
We consider conformal prediction for multivariate data and focus on hierarchical data, where some components are linear combinations of others. Intuitively, the hierarchical struct…
Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
Evgenii Chzhen, Christophe Giraud, Zhen Li +1
We consider contextual bandit problems with knapsacks [CBwK], a problem where at each round, a scalar reward is obtained and vector-valued costs are suffered. The learner aims to m…
PAC-Bayesian AUC classification and scoring
James Ridgway, Pierre Alquier, Nicolas Chopin +1
We develop a scoring and classification procedure based on the PAC-Bayesian approach and the AUC (Area Under Curve) criterion. We focus initially on the class of linear score funct…
Bayesian learning of noisy Markov decision processes
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
We consider the inverse reinforcement learning problem, that is, the problem of learning from, and then predicting or mimicking a controller based on state/action data. We propose…