activity
20142020
most citedEmpirical Evaluation of Real World Tournaments

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR20201 cited

"And the Winner Is...": Dynamic Lotteries for Multi-group Fairness-Aware Recommendation

Nasim Sonboli, Robin Burke, Nicholas Mattei +2

As recommender systems are being designed and deployed for an increasing number of socially-consequential applications, it has become important to consider what properties of fairn…

cs.LG2020

A Multi-Channel Neural Graphical Event Model with Negative Evidence

Tian Gao, Dharmashankar Subramanian, Karthikeyan Shanmugam +2

Event datasets are sequences of events of various types occurring irregularly over the time-line, and they are increasingly prevalent in numerous domains. Existing work for modelin…

cs.CL2019

Infusing Knowledge into the Textual Entailment Task Using Graph Convolutional Networks

Pavan Kapanipathi, Veronika Thost, Siva Sankalp Patel +10

Textual entailment is a fundamental task in natural language processing. Most approaches for solving the problem use only the textual content present in training data. A few approa…

cs.GT20166 cited

Empirical Evaluation of Real World Tournaments

Nicholas Mattei, Toby Walsh

Computational Social Choice (ComSoc) is a rapidly developing field at the intersection of computer science, economics, social choice, and political science. The study of tournament…

cs.GT2014

Computational Aspects of Multi-Winner Approval Voting

Haris Aziz, Serge Gaspers, Joachim Gudmundsson +3

We study computational aspects of three prominent voting rules that use approval ballots to elect multiple winners. These rules are satisfaction approval voting, proportional appro…