8 citations · 8 across the 2 of their papers we have counts for
4 papers
Simultaneous Best Subset Selection and Dimension Reduction via Primal-Dual Iterations
Canhong Wen, Ruipeng Dong, Xueqin Wang +2
Sparse reduced rank regression is an essential statistical learning method. In the contemporary literature, estimation is typically formulated as a nonconvex optimization that ofte…
Parallel integrative learning for large-scale multi-response regression with incomplete outcomes
Ruipeng Dong, Daoji Li, Zemin Zheng
Multi-task learning is increasingly used to investigate the association structure between multiple responses and a single set of predictor variables in many applications. In the er…
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
Kun Chen, Ruipeng Dong, Wanwan Xu +1
The sparse factorization of a large matrix is fundamental in modern statistical learning. In particular, the sparse singular value decomposition and its variants have been utilized…
Best Subset Selection in Reduced Rank Regression
Canhong Wen, Weiyu Li, Junxian Zhu +1
We design a new algorithm on the best subset selection model in reduced rank regression.