activity
20192024
most citedOn Fair Selection in the Presence of Implicit and Differential Variance

19 citations · 54 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

On the Impact of Output Perturbation on Fairness in Binary Linear Classification

Vitalii Emelianov, Michaël Perrot

We theoretically study how differential privacy interacts with both individual and group fairness in binary linear classification. More precisely, we focus on the output perturbati…

cs.GT2022

Fairness in Selection Problems with Strategic Candidates

Vitalii Emelianov, Nicolas Gast, Patrick Loiseau

To better understand discriminations and the effect of affirmative actions in selection problems (e.g., college admission or hiring), a recent line of research proposed a model bas…

cs.LG2021★ 19 cited

On Fair Selection in the Presence of Implicit and Differential Variance

Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi +1

Discrimination in selection problems such as hiring or college admission is often explained by implicit bias from the decision maker against disadvantaged demographic groups. In th…

cs.CY2020★ 17 cited

On Fair Selection in the Presence of Implicit Variance

Vitalii Emelianov, Nicolas Gast, Krishna P. Gummadi +1

Quota-based fairness mechanisms like the so-called Rooney rule or four-fifths rule are used in selection problems such as hiring or college admission to reduce inequalities based o…

stat.ML2019★ 18 cited

The Price of Local Fairness in Multistage Selection

Vitalii Emelianov, George Arvanitakis, Nicolas Gast +2

The rise of algorithmic decision making led to active researches on how to define and guarantee fairness, mostly focusing on one-shot decision making. In several important applicat…