973 citations · 4.4k across the 28 of their papers we have counts for
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An Alternating Manifold Proximal Gradient Method for Sparse PCA and Sparse CCA
Shixiang Chen, Shiqian Ma, Lingzhou Xue +1
Sparse principal component analysis (PCA) and sparse canonical correlation analysis (CCA) are two essential techniques from high-dimensional statistics and machine learning for ana…
Another Look at DWD: Thrifty Algorithm and Bayes Risk Consistency in RKHS
Boxiang Wang, Hui Zou
Distance weighted discrimination (DWD) is a margin-based classifier with an interesting geometric motivation. DWD was originally proposed as a superior alternative to the support v…
Sparse Distance Weighted Discrimination
Boxiang Wang, Hui Zou
Distance weighted discrimination (DWD) was originally proposed to handle the data piling issue in the support vector machine. In this paper, we consider the sparse penalized DWD fo…
High Dimensional Semiparametric Latent Graphical Model for Mixed Data
Jianqing Fan, Han Liu, Yang Ning +1
Graphical models are commonly used tools for modeling multivariate random variables. While there exist many convenient multivariate distributions such as Gaussian distribution for…
Structured variable selection in support vector machines
Seongho Wu, Hui Zou, Ming Yuan
When applying the support vector machine (SVM) to high-dimensional classification problems, we often impose a sparse structure in the SVM to eliminate the influences of the irrelev…