1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Optimizing Viscous Democracy
Ben Armstrong, Shiri Alouf-Heffetz, Nimrod Talmon
Viscous democracy is a generalization of liquid democracy, a social choice framework in which voters may transitively delegate their votes. In viscous democracy, a "viscosity" fact…
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…