17 citations · 35 across the 9 of their papers we have counts for
3 papers · 1 filter
Leveraging Labeled and Unlabeled Data for Consistent Fair Binary Classification
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri +2
We study the problem of fair binary classification using the notion of Equal Opportunity. It requires the true positive rate to distribute equally across the sensitive groups. With…
Minimax semi-supervised confidence sets for multi-class classification
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri
In this work we study the semi-supervised framework of confidence set classification with controlled expected size in minimax settings. We obtain semi-supervised minimax rates of c…
On the benefits of output sparsity for multi-label classification
Evgenii Chzhen, Christophe Denis, Mohamed Hebiri +1
The multi-label classification framework, where each observation can be associated with a set of labels, has generated a tremendous amount of attention over recent years. The moder…