3 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ML2021
Optimal Model Averaging of Support Vector Machines in Diverging Model Spaces
Chaoxia Yuan, Chao Ying, Zhou Yu +1
Support vector machine (SVM) is a powerful classification method that has achieved great success in many fields. Since its performance can be seriously impaired by redundant covari…
math.ST2020★ 1 cited
Fréchet Sufficient Dimension Reduction for Random Objects
Chao Ying, Zhou Yu
We in this paper consider Fréchet sufficient dimension reduction with responses being complex random objects in a metric space and high dimension Euclidean predictors. We propose a…
stat.ML2019★ 3 cited
Distributed estimation of principal support vector machines for sufficient dimension reduction
Jun Jin, Chao Ying, Zhou Yu
The principal support vector machines method (Li et al., 2011) is a powerful tool for sufficient dimension reduction that replaces original predictors with their low-dimensional li…