2 citations · 2 across the 3 of their papers we have counts for
3 papers
math.ST2019
Optimal rates for F-score binary classification
Evgenii Chzhen
We study the minimax settings of binary classification with F-score under the -smoothness assumptions on the regression function for $x \in \mat…
math.ST2019
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…
math.ST2017★ 2 cited
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…