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cs.GT2024
Low-Distortion Clustering with Ordinal and Limited Cardinal Information
Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs +3
Motivated by recent work in computational social choice, we extend the metric distortion framework to clustering problems. Given a set of agents located in an underlying metric…
cs.GT2023★ 1 cited
Optimally Interpolating between Ex-Ante Fairness and Welfare
Mikael Møller Høgsgaard, Panagiotis Karras, Wenyue Ma +2
For the fundamental problem of allocating a set of resources among individuals with varied preferences, the quality of an allocation relates to the degree of fairness and the colle…