Joshua C. Chang

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 10

Top Venues

CoRR

AISTATS

MLHC

J. Math. Imaging Vis.

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Joshua C. Chang, Xiangting Li, Shixin Xu, Hao-Ren Yao, Julia Porcino, Carson C. Chow
Gradient-flow adaptive importance sampling for Bayesian leave one out cross-validation for sigmoidal classification models. CoRR (2024)
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, Carson C. Chow, Julia Porcino
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery. AISTATS (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, Carson C. Chow, Julia Porcino
Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery. 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)
Shixin Xu, Joshua C. Chang, Carson C. Chow, K. C. Brennan, Huaxiong Huang
A mathematical model for persistent post-CSD vasoconstriction. PLoS Comput. Biol. 16 (7) (2020)
Joshua C. Chang, Shashaank Vattikuti, Carson C. Chow
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models. CoRR (2019)
Joshua C. Chang, Tom Chou
Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior. J. Math. Imaging Vis. 49 (1) (2014)
Joshua C. Chang, K. C. Brennan, Tom Chou
Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape Priors. IEEE Trans. Medical Imaging 31 (5) (2012)
Joshua C. Chang, Tom Chou
Iterative graph cuts for image segmentation with a nonlinear statistical shape prior CoRR (2012)

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Publication Activity (10 Years)

Top Topics

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Joshua C. Chang