collaborators

6 papers

cs.DS2026

Truly Work-efficient Parallel Deterministic -coloring and Maximal Independent Set

Chase Hutton, Adam Melrod

We give deterministic parallel algorithms that compute a -coloring and a maximal independent set for a simple graph with vertices and edges in work and $O(\…

cs.LG2026

On Randomized Algorithms in Online Strategic Classification

Chase Hutton, Adam Melrod, Han Shao

Online strategic classification studies settings in which agents strategically modify their features to obtain favorable predictions. For example, given a classifier that determine…

cs.DS2026

High Probability Work Efficient Parallel Algorithms

Chase Hutton, Adam Melrod

Randomized parallel algorithms for many fundamental problems achieve optimal linear work in expectation, but upgrading this guarantee to hold with high probability (whp) remains a…

cs.DC2026

Faster Parallel Batch-Dynamic Algorithms for Low Out-Degree Orientation

Guy Blelloch, Andrew Brady, Laxman Dhulipala +3

A low out-degree orientation directs each edge of an undirected graph with the goal of minimizing the maximum out-degree of a vertex. In the parallel batch-dynamic setting, one can…

cs.DS2025

Parallel Batch Dynamic Vertex Coloring in Amortized Update Time

Chase Hutton, Adam Melrod

We present the first parallel batch-dynamic algorithm for maintaining a proper -vertex coloring. Our approach builds on a new sequential dynamic algorithm inspired by the…

cs.DS2025

Encoding Schemes for Parallel In-Place Algorithms

Chase Hutton, Adam Melrod

Many parallel algorithms which solve basic problems in computer science use auxiliary space linear in the input to facilitate conflict-free computation. There has been significant…