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Subquadratic Algorithms for Succinct Stable Matching

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Provides subquadratic algorithms and matching lower bounds for succinct preference models. Claims a subquadratic one-sided D-attribute finding algorithm when women share one ranking, using geometric reduction to dynamic ray-shooting (Matoušek-style) and constant D. Gives subquadratic verification for constant D and an optimal O(dn) algorithm for d-list verification. Shows a hardness result via a reduction from Maximum Inner Product: no strongly subquadratic algorithms once D = ω(log n) (also randomized lower bounds for boolean weights when D = c log n).

AI-written summary · about

  1. 0:00Intro
  2. 0:16The Stable Matching Setting
  3. 1:03The Stable Marriage Problem
  4. 1:57Gale - Shapley
  5. 2:51Succinct Preferences
  6. 3:45d-Attribute Preferences
  7. 4:493-attribute Preferences Example
  8. 5:24d-List Preferences
  9. 6:002-list Preferences Example
  10. 6:18Questions?
  11. 7:07Algorithmic Results
  12. 8:38Hardness Result
  13. 9:20(Boolean) Maximum Inner Product
  14. 9:42Reduction to Stable Matching
  15. 11:48d-list Stability Verification
  16. 14:48d-attribute Algorithms
  17. 16:10Finding vs. Verifying
  18. 17:18Future Directions
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