9 citations · 9 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Optimal Sparse Sliced Inverse Regression via Random Projection
Jia Zhang, Runxiong Wu, Xin Chen
We propose a novel sparse sliced inverse regression method based on random projections in a large small setting. Embedded in a generalized eigenvalue framework, the propose…
stat.ME2021
High-Dimensional Sparse Single-Index Regression Via Hilbert-Schmidt Independence Criterion
Runxiong Wu, Chang Deng, Xin Chen
Hilbert-Schmidt Independence Criterion (HSIC) has recently been used in the field of single-index models to estimate the directions. Compared with some other well-established metho…
stat.ML2019★ 9 cited
MM Algorithms for Distance Covariance based Sufficient Dimension Reduction and Sufficient Variable Selection
Runxiong Wu, Xin Chen
Sufficient dimension reduction (SDR) using distance covariance (DCOV) was recently proposed as an approach to dimension-reduction problems. Compared with other SDR methods, it is m…