Group fairness is a popular approach to prevent unfavorable treatment of...
We consider Contextual Bandits with Concave Rewards (CBCR), a multi-obje...
As recommender systems become increasingly central for sorting and
prior...
The paper offers a contribution to the interdisciplinary constructs of
a...
There is growing interest in designing recommender systems that aim at b...
Assume k candidates need to be selected. The candidates appear over time...
We consider the problem of generating rankings that are fair towards bot...
Citizens' assemblies need to represent subpopulations according to their...
Recently, an increasing number of works have introduced models capable o...
We propose to assess the fairness of personalized recommender systems in...
The recently proposed SNLI-VE corpus for recognising visual-textual
enta...