Joshua C Chang — accepted AI-conference papers

2023

Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery

Joshua C. Chang, Carson C. Chow, Julia Porcino

AISTATS 2023poster

The Work Disability Functional Assessment Battery (WD-FAB) is a multidimensional item response theory (IRT) instrument designed for assessing work-related mental and physical function based on responses to an item bank. In prior iterations it was developed using traditional means – linear factorizat…

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2021

Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization

Joshua C Chang, Patrick Fletcher, Jungmin Han, Ted L Chang, Shashaank Vattikuti, Bart Desmet +2

ICLR 2021poster

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 such data, hierarchical Poisson matrix factorization (HPF) and other sparse probabilistic non-negative matrix factorizat…

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