33 citations · 39 across the 4 of their papers we have counts for
4 papers
Adaptive Iterative Hessian Sketch via A-Optimal Subsampling
Aijun Zhang, Hengtao Zhang, Guosheng Yin
Iterative Hessian sketch (IHS) is an effective sketching method for modeling large-scale data. It was originally proposed by Pilanci and Wainwright (2016; JMLR) based on randomized…
Mixed-Level Column Augmented Uniform Designs
Feng Yang, Yong-Dao Zhou, Aijun Zhang
Follow-up experimental designs are popularly used in industry. In many follow-up designs, some additional factors with two or three levels may be added in the follow-up stage since…
BeSS: An R Package for Best Subset Selection in Linear, Logistic and CoxPH Models
Canhong Wen, Aijun Zhang, Shijie Quan +1
We introduce a new R package, BeSS, for solving the best subset selection problem in linear, logistic and Cox's proportional hazard (CoxPH) models. It utilizes a highly efficient a…
Majorization framework for balanced lattice designs
Aijun Zhang, Kai-Tai Fang, Runze Li +1
This paper aims to generalize and unify classical criteria for comparisons of balanced lattice designs, including fractional factorial designs, supersaturated designs and uniform d…