most citedStretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons

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cs.LG2019★ 1 cited

Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons

Jingyan Wang, Nihar B. Shah, R. Ravi

A number of applications (e.g., AI bot tournaments, sports, peer grading, crowdsourcing) use pairwise comparison data and the Bradley-Terry-Luce (BTL) model to evaluate a given col…