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Randomness and Fairness in Two-Sided Matching with Limited Interviews

Talkat ITCS 2021 · 2021-01-06..01-08
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Model has N applicants and N positions, each side draws iid uniform preferences, applicants send K applications, positions interview K' and then applicant-proposing deferred acceptance runs in the large-market limit. Exact expected matching size is derived (balls-and-bins style and DA analysis). Key findings: with K=K'=1 fraction matched → 1 - 1/e ≈ 0.632; the matching size is non-monotone in K and shows a scallop-shaped optimum at integer K; egalitarian allocation of application slots maximizes matches; limiting applications can increase overall matches when interviews are scarce.

AI-written summary · about

  1. 0:00Introduction
  2. 1:03Limitations
  3. 1:39Model
  4. 4:20Limited Interviews
  5. 5:10Easy Case
  6. 6:09General Case
  7. 9:41Number of Applications
  8. 10:48Effect of More Applications
  9. 12:00Larger Size Matching
  10. 13:45Maximum Size Matching
  11. 15:39Multiple Interviews
  12. 17:07Limiting Interviews
  13. 17:56Conclusion
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