Joshua C. Chang

15 papers A* 1A 1Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayesian information theoretic model-averaging stochastic item selection for computer adaptive testing: compromise-free item exposure. CoRR Joshua C. Chang, Edison Choe
2024	J	`jnl`	Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models. CoRR Joshua C. Chang, Xiangting Li, Shixin Xu, Hao-Ren Yao, Julia Porcino, Carson C. Chow
2023	A	`conf`	Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery. AISTATS Joshua C. Chang, Carson C. Chow, Julia Porcino
2023	J	`jnl`	Interpretable (not just posthoc-explainable) heterogeneous survivor bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions. CoRR Hongjing Xia, Joshua C. Chang, Sarah Nowak, Sonya Mahajan, Rohit Mahajan, Ted L. Chang, Carson C. Chow
2023	—	`conf`	Interpretable (not just posthoc-explainable) heterogeneous survivors bias-corrected treatment effects for assignment of postdischarge interventions to prevent readmissions. MLHC Hongjing Xia, Joshua C. Chang, Sarah Nowak, Sonya Mahajan, Rohit Mahajan, Ted L. Chang, Carson C. Chow
2022	J	`jnl`	Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery. CoRR Joshua C. Chang, Carson C. Chow, Julia Porcino
2022	J	`jnl`	Interpretable (not just posthoc-explainable) medical claims modeling for discharge placement to prevent avoidable all-cause readmissions or death. CoRR Joshua C. Chang, Ted L. Chang, Carson C. Chow, Rohit Mahajan, Sonya Mahajan, Shashaank Vattikuti, Hongjing Xia
2021	A*	`conf`	Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization. ICLR Joshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow
2020	J	`jnl`	A mathematical model for persistent post-CSD vasoconstriction. PLoS Comput. Biol. Shixin Xu, Joshua C. Chang, Carson C. Chow, K. C. Brennan, Huaxiong Huang
2020	J	`jnl`	Sparse encoding for more-interpretable feature-selecting representations in probabilistic matrix factorization. CoRR Joshua C. Chang, Patrick Fletcher, Jungmin Han, Ted L. Chang, Shashaank Vattikuti, Bart Desmet, Ayah Zirikly, Carson C. Chow
2019	J	`jnl`	Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models. CoRR Joshua C. Chang, Shashaank Vattikuti, Carson C. Chow
2014	J	`jnl`	Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior. J. Math. Imaging Vis. Joshua C. Chang, Tom Chou
2012	—	`—`	Cortical Spreading Depression: A Mathematical Model and Associated Inverse Problems. Joshua C. Chang
2012	J	`jnl`	Iterative graph cuts for image segmentation with a nonlinear statistical shape prior CoRR Joshua C. Chang, Tom Chou
2012	J	`jnl`	Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape Priors. IEEE Trans. Medical Imaging Joshua C. Chang, K. C. Brennan, Tom Chou