Group Fairness in Committee Selection
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Abstract (arXiv)
In this paper, we study fairness in committee selection problems. We consider a general notion of fairness via stability: A committee is stable if no coalition of voters can deviate and choose a committee of proportional size, so that all these voters strictly prefer the new committee to the existing one. Our main contribution is to extend this definition to stability of a distribution (or lottery) over committees. We consider two canonical voter preference models: the Approval Set setting where each voter approves a set of candidates and prefers committees with larger intersection with this set; and the Ranking setting where each voter ranks committees based on how much she likes her favorite candidate in a committee. Our main result is to show that stable lotteries always exist for these canonical preference models. Interestingly, given preferences of voters over committees, the procedure for computing an approximately stable lottery is the same for both models and therefore extends to the setting where some voters have the former preference structure and others have the latter. Our existence proof uses the probabilistic method and a new large deviation inequality that may be of independent interest.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 May 2019.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 0; 2025: 2; 2026: 3.
10 papers.
- 2023Proportional Fairness in Clustering: A Social Choice Perspectivecited by 12
- 2021Core-Stable Committees under Restricted Domainscited by 3
- 2023Proportional Representation in Metric Spaces and Low-Distortion Committee Selectioncited by 3
- 2025Optimized Distortion in Linear Social Choicecited by 2
- 2025A Computational Approach to Improving Fairness in K-means Clusteringcited by 1
- 2022Fairly Allocating Utility in Constrained Multiwinner Electionscited by 0
- 2022On the Complexity of Finding a Diverse and Representative Committee using a Monotone, Separable Positional Multiwinner Voting Rulecited by 0
- 2026Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scalingcited by 0
- 2026A General Theory of Proportionality with Additive Utilitiescited by 0
- 2026Improving Randomized Metric Distortion to 2.1441cited by 0
- 2026Improving Randomized Metric Distortion to 2.144129 Aug 2026
- 2026A General Theory of Proportionality with Additive Utilities9 Feb 2026
- 2026Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling13 Jan 2026
- 2025Optimized Distortion in Linear Social Choice22 Oct 2025
- 2025A Computational Approach to Improving Fairness in K-means Clustering29 May 2025
- 2023Proportional Representation in Metric Spaces and Low-Distortion Committee Selection16 Dec 2023
- 2023Proportional Fairness in Clustering: A Social Choice Perspective27 Oct 2023
- 2022On the Complexity of Finding a Diverse and Representative Committee using a Monotone, Separable Positional Multiwinner Voting Rule23 Nov 2022
- 2022Fairly Allocating Utility in Constrained Multiwinner Elections23 Nov 2022
- 2021Core-Stable Committees under Restricted Domains4 Aug 2021