2 papers
stat.ME2021
Model-based Sparse Coding beyond Gaussian Independent Model
Xin Xing, Rui Xie, Wenxuan Zhong
Sparse coding aims to model data vectors as sparse linear combinations of basis elements, but a majority of related studies are restricted to continuous data without spatial or tem…
stat.ME2020
LowCon: A design-based subsampling approach in a misspecified linear modeL
Cheng Meng, Rui Xie, Abhyuday Mandal +3
We consider a measurement constrained supervised learning problem, that is, (1) full sample of the predictors are given; (2) the response observations are unavailable and expensive…