60 citations · 134 across the 15 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
stat.ME2016★ 6 cited
Scalable Interpretable Multi-Response Regression via SEED
Mohammad Taha Bahadori, Zemin Zheng, Yan Liu +1
Sparse reduced-rank regression is an important tool to uncover meaningful dependence structure between large numbers of predictors and responses in many big data applications such…
stat.ME2016★ 1 cited
The constrained Dantzig selector with enhanced consistency
Yinfei Kong, Zemin Zheng, Jinchi Lv
The Dantzig selector has received popularity for many applications such as compressed sensing and sparse modeling, thanks to its computational efficiency as a linear programming pr…
stat.ME2016★ 47 cited
High dimensional thresholded regression and shrinkage effect
Zemin Zheng, Yingying Fan, Jinchi Lv
High-dimensional sparse modeling via regularization provides a powerful tool for analyzing large-scale data sets and obtaining meaningful, interpretable models. The use of nonconve…