108 citations · 365 across the 55 of their papers we have counts for
5 papers · 1 filter
Generalization Bounds in the Presence of Outliers: a Median-of-Means Study
Pierre Laforgue, Guillaume Staerman, Stephan Clémençon
In contrast to the empirical mean, the Median-of-Means (MoM) is an estimator of the mean of a square integrable r.v. , around which accurate nonasymptotic confidence bounds…
Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach
Valérie Beaudouin, Isabelle Bloch, David Bounie +6
The recent enthusiasm for artificial intelligence (AI) is due principally to advances in deep learning. Deep learning methods are remarkably accurate, but also opaque, which limits…
A Multiclass Classification Approach to Label Ranking
Stephan Clémençon, Robin Vogel
In multiclass classification, the goal is to learn how to predict a random label , valued in with , based upon observing a r.v. ,…
Weighted Empirical Risk Minimization: Sample Selection Bias Correction based on Importance Sampling
Robin Vogel, Mastane Achab, Stéphan Clémençon +1
We consider statistical learning problems, when the distribution of the training observations differs from the distribution involved in the risk o…
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints
Robin Vogel, Aurélien Bellet, Stephan Clémençon
Many applications of AI involve scoring individuals using a learned function of their attributes. These predictive risk scores are then used to take decisions based on whether the…