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20182026
most citedRandom-order Contention Resolution via Continuous Induction: Tightness for Bipartite Matching under Vertex Arrivals

4 citations · 28 across the 18 of their papers we have counts for

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13 papers · 1 filter

cs.DS2026

Efficient Algorithms for Online Subadditive Combinatorial Allocations

Calum MacRury, Rian Neogi, Kanstantsin Pashkovich +4

For the online combinatorial allocation problem with subadditive valuations, Correa and Cristi (STOC 2023) proved the existence of a -competitive online algorithm, improving on…

cs.DS2026

Prophet Inequalities and Online Contention Resolution for Matchoids

Calum MacRury, Pranav Nuti, Jan Vondrák

In the classical prophet inequality, an algorithm observes a sequence of random variables with known distributions in an online fashion, and it must select one of the random variab…

cs.DS2026

Approximation Algorithms for Action-Reward Query-Commit Matching

Mahsa Derakhshan, Andisheh Ghasemi, Calum MacRury

Matching problems under uncertainty arise in applications such as kidney exchange, hiring, and online marketplaces. A decision-maker must sequentially explore potential matches und…

cs.DS2025

Forward-backward Contention Resolution Schemes for Fair Rationing

Will Ma, Calum MacRury, Cliff Stein

We use contention resolution schemes (CRS) to derive algorithms for the fair rationing of a single resource when agents have stochastic demands. We aim to provide ex-ante guarantee…

cs.DS2024

Proportionally Fair Matching via Randomized Rounding

Sharmila Duppala, Nathaniel Grammel, Juan Luque +2

Given an edge-colored graph, the goal of the proportional fair matching problem is to find a maximum weight matching while ensuring proportional representation (with respect to the…

cs.DS2024

Online Matching and Contention Resolution for Edge Arrivals with Vanishing Probabilities

Will Ma, Calum MacRury, Pranav Nuti

We study the performance of sequential contention resolution and matching algorithms on random graphs with vanishing edge probabilities. When the edges of the graph are processed i…

cs.DS2023★ 4 cited

Random-order Contention Resolution via Continuous Induction: Tightness for Bipartite Matching under Vertex Arrivals

Calum MacRury, Will Ma

We introduce a new approach for designing Random-order Contention Resolution Schemes (RCRS) via exact solution in continuous time. Given a function ,…

cs.DS2023★ 1 cited

Online Bipartite Matching in the Probe-Commit Model

Allan Borodin, Calum MacRury

We consider the classical online bipartite matching problem in the probe-commit model. In this problem, when an online vertex arrives, its edges must be probed to determine if they…

cs.DS2022★ 2 cited

On (Random-order) Online Contention Resolution Schemes for the Matching Polytope of (Bipartite) Graphs

Calum MacRury, Will Ma, Nathaniel Grammel

Online Contention Resolution Schemes (OCRS's) represent a modern tool for selecting a subset of elements, subject to resource constraints, when the elements are presented to the al…

cs.DS2021

Improved Guarantees for Offline Stochastic Matching via New Ordered Contention Resolution Schemes

Brian Brubach, Nathaniel Grammel, Will Ma +2

Matching is one of the most fundamental and broadly applicable problems across many domains. In these diverse real-world applications, there is often a degree of uncertainty in the…

cs.DS2020★ 1 cited

Greedy Approaches to Online Stochastic Matching

Allan Borodin, Calum MacRury, Akash Rakheja

Within the context of stochastic probing with commitment, we consider the online stochastic matching problem; that is, the one-sided online bipartite matching problem where edges a…

cs.DS2020★ 3 cited

Bipartite Stochastic Matching: Online, Random Order, and I.I.D. Models

Allan Borodin, Calum MacRury, Akash Rakheja

Within the context of stochastic probing with commitment, we consider the online stochastic matching problem; that is, the one sided online bipartite matching problem where edges a…

cs.DS2020

Probabilistically Faulty Searching on a Half-Line

Anthony Bonato, Konstantinos Georgiou, Calum MacRury +1

We study -Faulty Search, a variant of the classic cow-path optimization problem, where a unit speed robot searches the half-line (or -ray) for a hidden item. The searcher is…