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…
cs.LG2019★ 4 cited
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models
Joshua C. Chang, Shashaank Vattikuti, Carson C. Chow
Item response theory (IRT) is a non-linear generative probabilistic paradigm for using exams to identify, quantify, and compare latent traits of individuals, relative to their peer…