73 citations · 138 across the 15 of their papers we have counts for
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cs.LG2020★ 2 cited
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization
Joshua C. Chang, Patrick Fletcher, Jungmin Han +5
Dimensionality reduction methods for count data are critical to a wide range of applications in medical informatics and other fields where model interpretability is paramount. For…
stat.AP2020★ 1 cited
Regularized Bayesian calibration and scoring of the WD-FAB IRT model improves predictive performance over marginal maximum likelihood
Joshua C. Chang, Julia Porcino, Elizabeth K. Rasch +1
Item response theory (IRT) is the statistical paradigm underlying a dominant family of generative probabilistic models for test responses, used to quantify traits in individuals re…