2 papers
stat.ME2021
Nearly Optimal Learning using Sparse Deep ReLU Networks in Regularized Empirical Risk Minimization with Lipschitz Loss
Ke Huang, Mingming Liu, Shujie Ma
We propose a sparse deep ReLU network (SDRN) estimator of the regression function obtained from regularized empirical risk minimization with a Lipschitz loss function. Our framewor…
stat.ME2021
A fusion learning method to subgroup analysis of Alzheimer's disease
Mingming Liu, Jing Yang, Yushi Liu +4
Uncovering the heterogeneity in the disease progression of Alzheimer's is a key factor to disease understanding and treatment development, so that interventions can be tailored to…