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Ben Armstrong

4 accepted papers

2026

Designing Rules to Pick a Rule: Aggregation by Consistency

ICLR 2026poster

Rank aggregation has critical applications for developing AI agents, as well as for evaluating them. However, different methods can give rise to significantly different aggregate rankings, impacting these applications. Indeed, work in social choice and statistics has produced many rank aggregation m…

Cited by 0SourceScholar
2026

What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting

AAAI 2026technical

Committee-selection problems arise in many contexts and applications, and there has been increasing interest within the social choice research community on identifying which properties are satisfied by different multi-winner voting rules. In this work, we propose a data-driven framework to evaluate

Cited by 0SourcePDFScholar
2022

How Should We Vote? A Comparison of Voting Systems within Social Networks

IJCAI 2022poster

Voting is a crucial methodology for eliciting and combining agents' preferences and information across many applications. Just as there are numerous voting rules exhibiting different properties, we also see many different voting systems. In this paper we investigate how different voting systems perf…

Cited by 8SourcePDFScholar