mlsanityData to 7 Oct 2026

On Meritocracy in Optimal Set Selection

arXiv 2102.11932 ↗First posted 23 Feb 2021cs.AIcited by 3

Not on the map. Why?

Abstract (arXiv)

Typically, merit is defined with respect to some intrinsic measure of worth. We instead consider a setting where an individual's worth is relative: when a Decision Maker (DM) selects a set of individuals from a population to maximise expected utility, it is natural to consider the Expected Marginal Contribution (EMC) of each person to the utility. We show that this notion satisfies an axiomatic definition of fairness for this setting. We also show that for certain policy structures, this notion of fairness is aligned with maximising expected utility, while for linear utility functions it is identical to the Shapley value. However, for certain natural policies, such as those that select individuals with a specific set of attributes (e.g. high enough test scores for college admissions), there is a trade-off between meritocracy and utility maximisation. We analyse the effect of constraints on the policy on both utility and fairness in extensive experiments based on college admissions and outcomes in Norwegian universities.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 16 of its 34 references that are in the map. First posted on arXiv 23 Feb 2021.

Builds on

16 of 34 references.

References · 16

  1. 2019Modeling Tabular data using Conditional GANcited by 695
  2. 2019On the Apparent Conflict Between Individual and Group Fairnesscited by 126
  3. 2018Equity of Attention: Amortizing Individual Fairness in Rankingscited by 124
  4. 2017FA*IR: A Fair Top-k Ranking Algorithmcited by 113
  5. 2014Lazier Than Lazy Greedycited by 97
  6. 2017Ranking with Fairness Constraintscited by 78
  7. 2019Policy Learning for Fairness in Rankingcited by 74
  8. 2018Selection Problems in the Presence of Implicit Biascited by 29
  9. 2020Interventions for Ranking in the Presence of Implicit Biascited by 27
  10. 2020Participatory Budgeting: Models and Approachescited by 23
  11. 2015Properties of Multiwinner Voting Rulescited by 20
  12. 2020On Fair Selection in the Presence of Implicit Variancecited by 14
4 more
  1. 2020Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivismcited by 11
  2. 2019Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissionscited by 5
  3. 2018Causal Interventions for Fairnesscited by 3
  4. 2021Fair and Optimal Cohort Selection for Linear Utilitiescited by 1

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 1; 2024: 0; 2025: 1; 2026: 1.

3 papers.