Ted L. Chang

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 5

Top Topics

Selecting Features

Medical Imaging

Collaborative Filtering

Probabilistic Matrix Factorization

Top Venues

Publications

Hongjing Xia, Joshua C. Chang, Sarah Nowak, Sonya Mahajan, Rohit Mahajan, Ted L. Chang, Carson C. Chow
Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions. MLHC (2023)
Hongjing Xia, Joshua C. Chang, Sarah Nowak, Sonya Mahajan, Rohit Mahajan, Ted L. Chang, Carson C. Chow
Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions. CoRR (2023)
Joshua C. Chang, Ted L. Chang, Carson C. Chow, Rohit Mahajan, Sonya Mahajan, Shashaank Vattikuti, Hongjing Xia
Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death. CoRR (2022)
Joshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization. ICLR (2021)
Joshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow
Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization. CoRR (2020)