We propose a general variational framework of fair clustering, which integrates an original Kullback-Leibler (KL) fairness term with large class clustering objectives, including prototype or graph based. Fundamentally different from the existing combinatorial and spectral solutions, our multi-term approach enables to control trade-off levels between objectives. derive tight upper bound based on...

We model the societal task of redistricting political districts as a partitioning problem: Given set n points in plane, each belonging to one two parties, and parameter k, our goal is compute partition P plane into regions so that region contains roughly s = n/k points. should satisfy notion "local" fairness, which related core, well-studied concept cooperative game theory. A associated with ma...

The current research details interviews with 50 victims and 50 defendants who participated in a specialized criminal domestic violence court in Lexington County, South Carolina. These victims and defendants indicated satisfaction with their court experiences, thought the process allowed them to voice their views, felt they were treated with respect, and were generally satisfied with the outcome...