1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.GT2023
Efficient, traceable, and numerically error-free implementation of the MMS voting rule
Luis Sánchez-Fernández
We propose an alternative algorithm to compute the MMS voting rule. Instead of using linear programming, in this new algorithm the maximin support value of a committee is computed…
cs.LG2023★ 1 cited
Data as Voters: Core Set Selection Using Approval-Based Multi-Winner Voting
Luis Sánchez-Fernández, Jesús A. Fisteus, Rafael López-Zaragoza
We present a novel approach to the core set/instance selection problem in machine learning. Our approach is based on recent results on (proportional) representation in approval-bas…