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cs.DS2026

Online Correlation Clustering with Metric Weights

Sami Davies, Benjamin Moseley, Heather Newman

The standard online version of correlation clustering is prohibitively hard, as even randomized algorithms cannot achieve competitive ratio better than . Prior works bypass t…

cs.DS2026

Efficiently Coloring the Intersection of a General Matroid and Combinatorial Matroids

Stephen Arndt, Benjamin Moseley, Kirk Pruhs +1

The paper presents a polynomial‑time algorithm that colors the intersection of a general matroid with several partition (or related combinatorial) matroids using at most a constant…

cs.DS2026

Matroid Contention Resolution with Concentration

Stephen Arndt, Benjamin Moseley, Kirk Pruhs +1

Contention resolution schemes (CRS) are a fundamental and widely applied tool for rounding fractional solutions subject to combinatorial constraints. However, the known analyses of…

cs.DS2026

Approximation Algorithms for Matroid-Intersection Coloring with Applications to Rota's Basis Conjecture

Stephen Arndt, Benjamin Moseley, Kirk Pruhs +2

We study algorithmic matroid intersection coloring. Given matroids on a common ground set of elements, the goal is to partition into the fewest number of color clas…

cs.DS2026

Minimizing Completion Times of Stochastic Jobs on Parallel Machines is Hard

Benjamin Moseley, Kirk Pruhs, Marc Uetz +1

This paper considers the scheduling of stochastic jobs on parallel identical machines to minimize the expected total weighted completion time. While this is a classical problem wit…

cs.DS2025

Competitive Online Transportation Simplified

Stephen Arndt, Benjamin Moseley, Kirk Pruhs +1

The setting for the online transportation problem is a metric space , populated by parking garages of varying capacities. Over time cars arrive in , and must be irrevocab…