3 citations · 5 across the 6 of their papers we have counts for
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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.ME2019★ 1 cited
Dynamic Partial Sufficient Dimension Reduction
Lu Li, Kai Tan, Xuerong Meggie Wen +1
Sufficient dimension reduction aims for reduction of dimensionality of a regression without loss of information by replacing the original predictor with its lower-dimensional subsp…