21 citations · 129 across the 21 of their papers we have counts for
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stat.ML2017★ 15 cited
Minimax Rates and Efficient Algorithms for Noisy Sorting
Cheng Mao, Jonathan Weed, Philippe Rigollet
There has been a recent surge of interest in studying permutation-based models for ranking from pairwise comparison data. Despite being structurally richer and more robust than par…
cs.LG2017★ 13 cited
Worst-case vs Average-case Design for Estimation from Fixed Pairwise Comparisons
Ashwin Pananjady, Cheng Mao, Vidya Muthukumar +2
Pairwise comparison data arises in many domains, including tournament rankings, web search, and preference elicitation. Given noisy comparisons of a fixed subset of pairs of items,…