Jackson Zhou
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View article: Scalable Expectation Propagation for Mixed-Effects Regression
Scalable Expectation Propagation for Mixed-Effects Regression Open
Mixed-effects regression models represent a useful subclass of regression models for grouped data; the introduction of random effects allows for the correlation between observations within each group to be conveniently captured when inferr…
View article: Tractable skew-normal approximations via matching
Tractable skew-normal approximations via matching Open
Many approximate Bayesian inference methods assume a particular parametric form for approximating the posterior distribution. A Gaussian distribution provides a convenient density for such approaches; examples include the Laplace, penalize…
View article: Skew-Normal Posterior Approximations
Skew-Normal Posterior Approximations Open
Many approximate Bayesian inference methods assume a particular parametric form for approximating the posterior distribution. A multivariate Gaussian distribution provides a convenient density for such approaches; examples include the Lapl…
View article: Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks
Lung Cancer Prediction Using Curriculum Learning Based Deep Neural Networks Open
The authors would like to thank the National Cancer Institute for access to the data collected over the PLCO cancer screening trial. The statements contained herein are solely those of the authors and do not represent or imply concurrence …