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How Many Repeated Pairwise Comparisons Are Needed for Ranking under Heterogeneity?
We study ranking models by population-average utility from pairwise comparisons when preferences vary across users and tasks. Prior work shows that a single comparison per user can be insufficient to identify the alternative with the highest average utility, even with arbitrarily many users (Golz et
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