1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2025
What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting
Joshua Caiata, Ben Armstrong, Kate Larson
Committee-selection problems arise in many contexts and applications, and there has been increasing interest within the social choice research community on identifying which proper…
cs.LG2024★ 1 cited
Liquid Ensemble Selection for Continual Learning
Carter Blair, Ben Armstrong, Kate Larson
Continual learning aims to enable machine learning models to continually learn from a shifting data distribution without forgetting what has already been learned. Such shifting dis…
cs.LG2024
Liquid Democracy for Low-Cost Ensemble Pruning
Ben Armstrong, Kate Larson
We argue that there is a strong connection between ensemble learning and a delegative voting paradigm -- liquid democracy -- that can be leveraged to reduce ensemble training costs…