Fair division and collective welfare

By Hervé Moulin. 2003

979 citations recorded by the source corpus.

Subfields: Political Science and International Relations

View Paper: https://www.semanticscholar.org/paper/99d7ba3340903a3df1d8b39acd4e437210a98962

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In Political Science and International Relations

Citations in the corpus

Mesos: A Platform for Fine-Grained Resource Sharing in the Data Center (2011, background): “For example, Competitive Equilibrium from Equal Incomes (CEEI) [44], the preferred fairness metric in micro-economics [39], has the disadvantage that the freeing up of resources might punish an existing user’s allocation.”
Dominant Resource Fairness: Fair Allocation of Multiple Resource Types (2011, methodology): “The books by Young [33] and Moulin [22] are entirely dedicated to these topics and provide good introductions.”
The Consensus Value: A New Solution Concept for Cooperative Games (2004, background): “The consensus value is related to two well established solution concepts: the equal surplus solution (cf. Moulin (2003)) and the Shapley value (Shapley (1953)).”
Fine-tuning language models to find agreement among humans with diverse preferences (2022, background): “Any SWF that satisfies six desirable axioms belongs to a one-parameter family of isoelastic social welfare functions [27]”
Multistakeholder recommendation: Survey and research directions (2020, neutral): “See [99] for a survey.”
The Unreasonable Fairness of Maximum Nash Welfare (2016, neutral): “Moreover, this solution is scale-free, in the sense that scaling a player’s valuation function would not change the outcome [Moulin 2003].”
Fair Allocation Rules (2011, neutral): “Book-length treatments are Kolm (1972, 1997), Young (1994), Moulin (1995, 2003), Thomson (1995c), Brams and Taylor (1996), Fleurbaey (1996b), and Roemer (1996).”
Random matching in the college admissions problem (2008, background): “See Moulin (1997, 2003). we take equilibrium analysis further, going beyond the analysis of truncations.”
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making (2018, background): “At a high level, a cardinal social welfare function is meant to rank different distributions of welfare across individuals, as more or less desirable in terms of distributive justice [Moulin, 2004].”
Issues in Multiagent Resource Allocation (2006, methodology): “Fair division [13, 66, 101] is an important area with many potential applications in the field of MARA.”
Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation (2022, background): “Under a different, utilitarian aggregation rule [94, 97], we would instead maximize the sum of the utility values (i.e., minimize the sum of pairwise TPR differences).”