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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
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…