Candidate Selections with Proportional Fairness Constraints
AAMAS '19: International Conference on Autonomous Agents and Multiagent Systems Auckland New Zealand May, 2020, pp. 150-158, 2020.
Selecting a subset of candidates with various attributes under fairness constraints has been attracting considerable attention from the AI community, with applications ranging from school admissions to committee selections. The fairness constraints are usually captured by absolute upper bounds and/or lower bounds on the number of selected...More
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