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; Ayah Zirikly; Carson C. Chow (ICLR, 2021)

Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death. - Joshua C. Chang; Ted L. Chang; Carson C. Chow; Rohit Mahajan; Sonya Mahajan; Shashaank Vattikuti; Hongjing Xia (CoRR, 2022)

Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions. - Hongjing Xia; Joshua C. Chang; Sarah Nowak; Sonya Mahajan; Rohit Mahajan; Ted L. Chang; Carson C. Chow (MLHC, 2023)

Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions. - Hongjing Xia; Joshua C. Chang; Sarah Nowak; Sonya Mahajan; Rohit Mahajan; Ted L. Chang; Carson C. Chow (CoRR, 2023)