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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…
stat.ML2018
Overlapping Sliced Inverse Regression for Dimension Reduction
Ning Zhang, Zhou Yu, Qiang Wu
Sliced inverse regression (SIR) is a pioneer tool for supervised dimension reduction. It identifies the effective dimension reduction space, the subspace of significant factors wit…