10 citations · 13 across the 2 of their papers we have counts for
2 papers
stat.ME2017★ 10 cited
Scalable Sparse Cox's Regression for Large-Scale Survival Data via Broken Adaptive Ridge
Eric S. Kawaguchi, Marc A. Suchard, Zhenqiu Liu +1
This paper develops a new scalable sparse Cox regression tool for sparse high-dimensional massive sample size (sHDMSS) survival data. The method is a local -penalized Cox regr…
cs.LG2014★ 3 cited
Efficient Regularized Regression for Variable Selection with L0 Penalty
Zhenqiu Liu, Gang Li
Variable (feature, gene, model, which we use interchangeably) selections for regression with high-dimensional BIGDATA have found many applications in bioinformatics, computational…