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In bipartite matching problems, agents on two sides of a graph want to be paired according to their preferences. The stability of a matching depends on these preferences, which in uncertain environments also reflect agents' beliefs about…

计算机科学与博弈论 · 计算机科学 2025-11-10 Jonathan Shaki , Jiarui Gan , Sarit Kraus

We consider the stability of matchings when individuals strategically submit preference information to a publicly known algorithm. Most pure Nash equilibria of the ensuing game yield a matching that is unstable with respect to the…

计算机科学与博弈论 · 计算机科学 2021-08-11 James P. Bailey , Craig A. Tovey

We study two-sided many-to-one matching problems under a novel type of distributional constraints, resource-regional caps. In the context of college admissions, under resource-regional caps, an admitted student may be provided with a unit…

计算机科学与博弈论 · 计算机科学 2025-07-08 Felipe Garrido-Lucero , Denis Sokolov , Patrick Loiseau , Simon Mauras

Universities regularly face the challenging task of assigning classes to thousands of students while considering their preferences, along with course schedules and capacities. Ensuring the effectiveness and fairness of course allocation…

计算机科学与博弈论 · 计算机科学 2025-02-18 George Bissias , Cyrus Cousins , Paula Navarrete Diaz , Yair Zick

In this paper, we consider the communication complexity of protocols that compute stable matchings. We work within the context of Gale and Shapley's original stable marriage problem\cite{GS62}: $n$ men and $n$ women each privately hold a…

计算复杂性 · 计算机科学 2014-10-10 Rafail Ostrovsky , Will Rosenbaum

Real-life applications of deferred-acceptance (DA) matching algorithms sometimes exhibit errors or changes to the matching inputs that are discovered only after the algorithm has been run and the results are announced to participants.…

计算机科学与博弈论 · 计算机科学 2024-09-23 Abraham Gale , Amélie Marian , David M. Pennock

In the {\sc Course Allocation} problem, there are a set of students and a set of courses at a given university. University courses may have different numbers of credits, typically related to different numbers of learning hours, and there…

数据结构与算法 · 计算机科学 2026-01-27 José Rodríguez , David Manlove

We study group fairness in the context of feedback loops induced by meritocratic selection into programs that themselves confer additional advantage, like college admissions. We introduce a stylized, yet novel inter-generational model for…

计算机与社会 · 计算机科学 2026-05-27 Gaurab Pokharel , Diptangshu Sen , Sanmay Das , Juba Ziani

The Deferred Acceptance algorithm is a popular school allocation mechanism thanks to its strategy proofness. However, with application costs, strategy proofness fails, leading to an identification problem. In this paper, I address this…

综合经济学 · 经济学 2020-11-02 Shanjukta Nath

We study the tiered deferred acceptance mechanism used in school admissions, such as in China and Turkey. This mechanism partitions schools into tiers and applies the deferred acceptance algorithm within each tier. Once assigned, students…

理论经济学 · 经济学 2024-10-21 Jiarui Xie

In the fundamental Stable Marriage and Stable Roommates problems, there are inherent trade-offs between the size and stability of solutions. While in the former problem, a stable matching always exists and can be found efficiently using the…

计算机科学与博弈论 · 计算机科学 2026-01-27 Frederik Glitzner , David Manlove

We study the stable matching problem under the random matching model where the preferences of the doctors and hospitals are sampled uniformly and independently at random. In a balanced market with $n$ doctors and $n$ hospitals, the…

计算机科学与博弈论 · 计算机科学 2025-08-12 Simon Mauras , Pawel Pralat , Adrian Vetta

We introduce a generalized version of the famous Stable Marriage problem, now based on multi-modal preference lists. The central twist herein is to allow each agent to rank its potentially matching counterparts based on more than one…

多智能体系统 · 计算机科学 2018-01-10 Jiehua Chen , Rolf Niedermeier , Piotr Skowron

Information frictions can harm the welfare of participants in two-sided matching markets. Consider a centralized admission, where colleges cannot observe students' preparedness for success in a particular major or degree program. Colleges…

综合经济学 · 经济学 2022-07-01 Andreas Bjerre-Nielsen , Emil Chrisander

This paper considers the stability of online learning algorithms and its implications for learnability (bounded regret). We introduce a novel quantity called {\em forward regret} that intuitively measures how good an online learning…

机器学习 · 计算机科学 2012-11-28 Ankan Saha , Prateek Jain , Ambuj Tewari

Matching algorithms have demonstrated great success in several practical applications, but they often require centralized coordination and plentiful information. In many modern online marketplaces, agents must independently seek out and…

计算机科学与博弈论 · 计算机科学 2025-01-14 Vade Shah , Bryce L. Ferguson , Jason R. Marden

Inferring applicant preferences is fundamental in many analyses of school-choice data. Application mistakes make this task challenging. We propose a novel approach to deal with the mistakes in a deferred-acceptance matching environment. The…

综合经济学 · 经济学 2023-09-26 Yeon-Koo Che , Dong Woo Hahm , YingHua He

The Stable Marriage problem (SM), solved by the famous deferred acceptance algorithm of Gale and Shapley (GS), has many natural generalizations. If we allow ties in preferences, then the problem of finding a maximum stable matching becomes…

计算机科学与博弈论 · 计算机科学 2024-09-11 Gergely Csáji , Tamás Király , Yu Yokoi

This paper proposes a novel school choice system where schools are grouped into hierarchical bundles and offered to students as options for preference reports. By listing a bundle, a student seeks admission to any school within it without…

理论经济学 · 经济学 2025-11-27 Lingbo Huang , Jun Zhang

The Gale-Shapley algorithm for the Stable Marriage Problem is known to take $\Theta(n^2)$ steps to find a stable marriage in the worst case, but only $\Theta(n \log n)$ steps in the average case (with $n$ women and $n$ men). In 1976, Knuth…

计算机科学与博弈论 · 计算机科学 2018-07-26 Yannai A. Gonczarowski , Noam Nisan , Rafail Ostrovsky , Will Rosenbaum