Approximately Stable Committee Selection
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Abstract (arXiv)
In the committee selection problem, we are given m candidates, and n voters. Candidates can have different weights. A committee is a subset of candidates, and its weight is the sum of weights of its candidates. Each voter expresses an ordinal ranking over all possible committees. The only assumption we make on preferences is monotonicity: If S subseteq S' are two committees, then any voter weakly prefers S' to S. We study a general notion of group fairness via stability: A committee of given total weight K is stable if no coalition of voters can deviate and choose a committee of proportional weight, so that all these voters strictly prefer the new committee to the existing one. Extending this notion to approximation, for parameter c ≥ 1, a committee S of weight K is said to be c-approximately stable if for any other committee S' of weight K', the fraction of voters that strictly prefer S' to S is strictly less than fracc K'K. When c = 1, this condition is equivalent to classical core stability. The question we ask is: Does a c-approximately stable committee of weight at most any given value K always exist for constant c? It is relatively easy to show that there exist monotone preferences for which c ≥ 2. However, even for simple and widely studied preference structures, a non-trivial upper bound on c has been elusive. In this paper, we show that c = O(1) for all monotone preference structures. Our proof proceeds via showing an existence result for a randomized notion of stability, and iteratively rounding the resulting fractional solution.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Oct 2019.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 2; 2024: 0; 2025: 1; 2026: 3.
7 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
- 2025A Linear Theory of Multi-Winner Votingcited by 1
- 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
- 2025A Linear Theory of Multi-Winner Voting5 Mar 2025
- 2023Proportional Representation in Metric Spaces and Low-Distortion Committee Selection16 Dec 2023
- 2023Proportional Fairness in Clustering: A Social Choice Perspective27 Oct 2023
- 2021Core-Stable Committees under Restricted Domains4 Aug 2021