587 citations · 2.1k across the 58 of their papers we have counts for
3 papers · 2 filters
A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
The task of aggregating and denoising crowd-labeled data has gained increased significance with the advent of crowdsourcing platforms and massive datasets. We propose a permutation…
Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help
Reinhard Heckel, Nihar B. Shah, Kannan Ramchandran +1
We consider sequential or active ranking of a set of n items based on noisy pairwise comparisons. Items are ranked according to the probability that a given item beats a randomly c…
Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons
Nihar B. Shah, Sivaraman Balakrishnan, Martin J. Wainwright
We study methods for aggregating pairwise comparison data in order to estimate outcome probabilities for future comparisons among a collection of n items. Working within a flexible…