A Matroid Generalization of the Super-Stable Matching Problem
Naoyuki Kamiyama

TL;DR
This paper extends the concept of super-stable matchings to a matroid framework, introducing super-stable common independent sets and providing a polynomial-time algorithm for their computation.
Contribution
It generalizes super-stable matchings to matroid settings and offers an efficient algorithm for finding super-stable common independent sets.
Findings
Polynomial-time algorithm for super-stable common independent sets
Generalization of super-stable matchings to matroid structures
Extension of previous stable matching algorithms
Abstract
A super-stable matching, which was introduced by Irving, is a solution concept in a variant of the stable matching problem in which the preferences may contain ties. Irving proposed a polynomial-time algorithm for the problem of finding a super-stable matching if a super-stable matching exists. In this paper, we consider a matroid generalization of a super-stable matching. We call our generalization of a super-stable matching a super-stable common independent set. This can be considered as a generalization of the matroid generalization of a stable matching for strict preferences proposed by Fleiner. We propose a polynomial-time algorithm for the problem of finding a super-stable common independent set if a super-stable common independent set exists.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
