3 papers
cs.DS2025
The Marked Edge Walk: A Novel MCMC Algorithm for Sampling of Graph Partitions
Atticus McWhorter, Daryl DeFord
Novel Markov Chain Monte Carlo (MCMC) methods have enabled the generation of large ensembles of redistricting plans through graph partitioning. However, existing algorithms such as…
cs.SI2025
Free Elections in the Free State: Ensemble Analysis of Redistricting in New Hampshire
Atticus McWhorter, Daryl DeFord
The process of legislative redistricting in New Hampshire, along with many other states across the country, was particularly contentious during the 2020 census cycle. In this paper…
cs.LG2025
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
Jarren Briscoe, Garrett Kepler, Daryl Deford +1
Evaluating machine learning models is crucial not only for determining their technical accuracy but also for assessing their potential societal implications. While the potential fo…