5 papers
Proportionally Representative Clustering
Haris Aziz, Barton E. Lee, Sean Morota Chu +1
In recent years, there has been a surge in effort to formalize notions of fairness in machine learning. We focus on centroid clustering--one of the fundamental tasks in unsupervise…
The Team Order Problem: Maximizing the Probability of Matching Being Large Enough
Haris Aziz, Jiarui Gan, Grzegorz Lisowski +1
We consider a matching problem, which is meaningful in team competitions, as well as in information theory, recommender systems, and assignment problems. In the competitions which…
Proportional Fairness in Obnoxious Facility Location
Alexander Lam, Haris Aziz, Bo Li +2
We consider the obnoxious facility location problem (in which agents prefer the facility location to be far from them) and propose a hierarchy of distance-based proportional fairne…
Approval-Based Voting with Mixed Goods
Xinhang Lu, Jannik Peters, Haris Aziz +2
We consider a voting scenario in which the resource to be voted upon may consist of both indivisible and divisible goods. This setting generalizes both the well-studied model of mu…
Group Fairness in Peer Review
Haris Aziz, Evi Micha, Nisarg Shah
Large conferences such as NeurIPS and AAAI serve as crossroads of various AI fields, since they attract submissions from a vast number of communities. However, in some cases, this…