10 citations · 14 across the 5 of their papers we have counts for
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cs.LG2022★ 1 cited
A Revenue Function for Comparison-Based Hierarchical Clustering
Aishik Mandal, Michaël Perrot, Debarghya Ghoshdastidar
Comparison-based learning addresses the problem of learning when, instead of explicit features or pairwise similarities, one only has access to comparisons of the form: \emph{Objec…
cs.LG2022★ 3 cited
FairGrad: Fairness Aware Gradient Descent
Gaurav Maheshwari, Michaël Perrot
We address the problem of group fairness in classification, where the objective is to learn models that do not unjustly discriminate against subgroups of the population. Most exist…