An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence and machine learning (ML) algorithms in spheres ranging …

An increasing number of decisions regarding the daily lives of human beings are being
controlled by artificial intelligence (AI) and machine learning (ML) algorithms in spheres …

Influence maximization is a widely used model for information dissemination in social
networks. Recent work has employed such interventions across a wide range of social …

The unfairness of a regressor is evaluated by measuring the correlation between the
estimator and the sensitive attribute (eg, race, gender, age), and the coefficient of …

Multiwinner voting rules are used to select a small representative subset of candidates or
items from a larger set given the preferences of voters. However, if candidates have …

Aggregating multiple rankings in a database is an important task well studied by the
database community. High-stakes application domains include hiring, lending, and …

We extend the recently introduced framework of metric distortion to multiwinner voting. In this
framework, n agents and m alternatives are located in an underlying metric space. The exact …

Algorithmic decision-making has become ubiquitous in our societal and economic lives.
With more and more decisions being delegated to algorithms, we have also encountered …

Influence maximization has found applications in a wide range of real-world problems, for
instance, viral marketing of products in an online social network, and propagation of …

We consider a voting model, where a number of candidates need to be selected subject to
certain feasibility constraints. The model generalizes committee elections (where there is a …