54 citations · 95 across the 16 of their papers we have counts for
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cs.LG2023
Optimal and Private Learning from Human Response Data
Duc Nguyen, Anderson Y. Zhang
Item response theory (IRT) is the study of how people make probabilistic decisions, with diverse applications in education testing, recommendation systems, among others. The Rasch…
cs.LG2023
Efficient and Accurate Learning of Mixtures of Plackett-Luce Models
Duc Nguyen, Anderson Y. Zhang
Mixture models of Plackett-Luce (PL) -- one of the most fundamental ranking models -- are an active research area of both theoretical and practical significance. Most previously pr…
cs.LG2022
A Spectral Approach to Item Response Theory
Duc Nguyen, Anderson Zhang
The Rasch model is one of the most fundamental models in \emph{item response theory} and has wide-ranging applications from education testing to recommendation systems. In a univer…