Feeling the bern: Adaptive estimators for Bernoulli probabilities of pairwise comparisons


We study methods for aggregating pairwise comparison data in order to estimate outcome probabilities for future comparisons. We investigate this problem under a flexible class of models satisfying the strong stochastic transitivity (SST) condition. Prior works have studied the minimax risk for estimation of the pairwise comparison probabilities under the… (More)
DOI: 10.1109/ISIT.2016.7541480


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