Joshua C. Chang

According to our database, Joshua C. Chang authored at least 11 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models.

Joshua C. Chang, Xiangting Li, Shixin Xu, Hao-Ren Yao, Julia Porcino, Carson C. Chow

CoRR, 2024

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

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

Proceedings of the Machine Learning for Healthcare Conference, 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

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

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

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, Ayah Zirikly, Carson C. Chow

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A mathematical model for persistent post-CSD vasoconstriction.

Shixin Xu, Joshua C. Chang, Carson C. Chow, K. C. Brennan, Huaxiong Huang

PLoS Comput. Biol., 2020

2019

Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models.

Joshua C. Chang, Shashaank Vattikuti, Carson C. Chow

CoRR, 2019

2014

Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior.

Joshua C. Chang, Tom Chou

J. Math. Imaging Vis., 2014

2012

Cortical Spreading Depression: A Mathematical Model and Associated Inverse Problems.

Joshua C. Chang

PhD thesis, 2012

Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape Priors.

Joshua C. Chang, K. C. Brennan, Tom Chou

IEEE Trans. Medical Imaging, 2012