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ORCIDJoshua C. Chang
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2020 – today
- 2024
[i7]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 abs/2402.08151 (2024)- 2023
- [c3]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: 3961-3976 - [c2]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: 884-905 - [i6]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 abs/2304.09981 (2023) - 2022
- [i5]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 abs/2208.12814 (2022) - [i4]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 abs/2210.10952 (2022) - 2021
- [c1]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 - 2020
- [j3]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) - [i3]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 abs/2012.04171 (2020)
2010 – 2019
- 2019
- [i2]Joshua C. Chang, Shashaank Vattikuti, Carson C. Chow:
Probabilistically-autoencoded horseshoe-disentangled multidomain item-response theory models. CoRR abs/1912.02351 (2019) - 2014
- [j2]Joshua C. Chang, Tom Chou:
Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior. J. Math. Imaging Vis. 49(1): 87-97 (2014) - 2012
- [b1]Joshua C. Chang:
Cortical Spreading Depression: A Mathematical Model and Associated Inverse Problems. University of California, Los Angeles, USA, 2012 - [j1]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): 1008-1020 (2012) - [i1]Joshua C. Chang, Tom Chou:
Iterative graph cuts for image segmentation with a nonlinear statistical shape prior. CoRR abs/1208.4384 (2012)
Coauthor Index
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