3 citations · 4 across the 2 of their papers we have counts for
2 papers
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…