23 citations · 173 across the 34 of their papers we have counts for
43 papers
Computational Social Choice: Research & Development
Dorothea Baumeister, Ratip Emin Berker, Niclas Boehmer +7
Computational social choice (COMSOC) studies principled ways to aggregate conflicting individual preferences into collective decisions. In this paper, we call for an increased effo…
Dynamic fairness-aware recommendation through multi-agent social choice
Amanda Aird, Paresha Farastu, Joshua Sun +5
Algorithmic fairness in the context of personalized recommendation presents significantly different challenges to those commonly encountered in classification tasks. Researchers st…
Pandering in a Flexible Representative Democracy
Xiaolin Sun, Jacob Masur, Ben Abramowitz +2
In representative democracies, the election of new representatives in regular election cycles is meant to prevent corruption and other misbehavior by elected officials and to keep…
Who Reviews The Reviewers? A Multi-Level Jury Problem
Ben Abramowitz, Omer Lev, Nicholas Mattei
We consider the problem of determining a binary ground truth using advice from a group of independent reviewers (experts) who express their guess about a ground truth correctly wit…
Who Pays? Personalization, Bossiness and the Cost of Fairness
Paresha Farastu, Nicholas Mattei, Robin Burke
Fairness-aware recommender systems that have a provider-side fairness concern seek to ensure that protected group(s) of providers have a fair opportunity to promote their items or…
Towards Group Learning: Distributed Weighting of Experts
Ben Abramowitz, Nicholas Mattei
Aggregating signals from a collection of noisy sources is a fundamental problem in many domains including crowd-sourcing, multi-agent planning, sensor networks, signal processing,…