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cs.LG2026
Probably Approximately Consensus: On the Learning Theory of Finding Common Ground
Carter Blair, Ben Armstrong, Shiri Alouf-Heffetz +2
A primary goal of online deliberation platforms is to identify ideas that are broadly agreeable to a community of users through their expressed preferences. Yet, consensus elicitat…
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…