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pro vyhledávání: '"Chow, Carson"'
We introduce a set of gradient-flow-guided adaptive importance sampling (IS) transformations to stabilize Monte-Carlo approximations of point-wise leave one out cross-validated (LOO) predictions for Bayesian classification models. One can leverage th
Externí odkaz:
http://arxiv.org/abs/2402.08151
Autor:
Xia, Hongjing, Chang, Joshua C., Nowak, Sarah, Mahajan, Sonya, Mahajan, Rohit, Chang, Ted L., Chow, Carson C.
Publikováno v:
PMLR 219:884-905, 2023
We used survival analysis to quantify the impact of postdischarge evaluation and management (E/M) services in preventing hospital readmission or death. Our approach avoids a specific pitfall of applying machine learning to this problem, which is an i
Externí odkaz:
http://arxiv.org/abs/2304.09981
Publikováno v:
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, Proceedings of Machine Learning Research 206:3961-3976, 2023
The Work Disability Functional Assessment Battery (WD-FAB) is a multidimensional item response theory (IRT) instrument designed for assessing work-related mental and physical function based on responses to an item bank. In prior iterations it was dev
Externí odkaz:
http://arxiv.org/abs/2210.10952
Autor:
Chang, Joshua C., Chang, Ted L., Chow, Carson C., Mahajan, Rohit, Mahajan, Sonya, Maisog, Joe, Vattikuti, Shashaank, Xia, Hongjing
We developed an inherently interpretable multilevel Bayesian framework for representing variation in regression coefficients that mimics the piecewise linearity of ReLU-activated deep neural networks. We used the framework to formulate a survival mod
Externí odkaz:
http://arxiv.org/abs/2208.12814
Publikováno v:
In Neoplasia December 2024 58
Autor:
Chang, Joshua C., Fletcher, Patrick, Han, Jungmin, Chang, Ted L., Vattikuti, Shashaank, Desmet, Bart, Zirikly, Ayah, Chow, Carson C.
Dimensionality reduction methods for count data are critical to a wide range of applications in medical informatics and other fields where model interpretability is paramount. For such data, hierarchical Poisson matrix factorization (HPF) and other s
Externí odkaz:
http://arxiv.org/abs/2012.04171
Item response theory (IRT) is a non-linear generative probabilistic paradigm for using exams to identify, quantify, and compare latent traits of individuals, relative to their peers, within a population of interest. In pre-existing multidimensional I
Externí odkaz:
http://arxiv.org/abs/1912.02351
Akademický článek
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Autor:
Chow, Carson C., Karimipanah, Yahya
The Wilson-Cowan equations represent a landmark in the history of computational neuroscience. Among the insights Wilson and Cowan offered for neuroscience, they crystallized an approach to modeling neural dynamics and brain function. Although their i
Externí odkaz:
http://arxiv.org/abs/1907.07821
We examine whether a single biophysical cortical circuit model can explain both spiking and perceptual variability. We consider perceptual rivalry, which provides a window into intrinsic neural processing since neural activity in some brain areas is
Externí odkaz:
http://arxiv.org/abs/1811.07012