78 citations · 134 across the 6 of their papers we have counts for
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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…
stat.ML2016
Bias Correction for Regularized Regression and its Application in Learning with Streaming Data
Qiang Wu
We propose an approach to reduce the bias of ridge regression and regularization kernel network. When applied to a single data set the new algorithms have comparable learning perfo…