54 citations · 63 across the 13 of their papers we have counts for
4 papers · 1 filter
Double Sparsity Kernel Learning with Automatic Variable Selection and Data Extraction
Jingxiang Chen, Chong Zhang, Michael R. Kosorok +1
Learning with Reproducing Kernel Hilbert Spaces (RKHS) has been widely used in many scientific disciplines. Because a RKHS can be very flexible, it is common to impose a regulariza…
Efficient Test-based Variable Selection for High-dimensional Linear Models
Siliang Gong, Kai Zhang, Yufeng Liu
Variable selection plays a fundamental role in high-dimensional data analysis. Various methods have been developed for variable selection in recent years. Well-known examples are f…
Estimating Individualized Treatment Rules for Ordinal Treatments
Jingxiang Chen, Haoda Fu, Xuanyao He +2
Precision medicine is an emerging scientific topic for disease treatment and prevention that takes into account individual patient characteristics. It is an important direction for…
Stability Enhanced Large-Margin Classifier Selection
Will Wei Sun, Guang Cheng, Yufeng Liu
Stability is an important aspect of a classification procedure because unstable predictions can potentially reduce users' trust in a classification system and also harm the reprodu…