13 citations · 43 across the 17 of their papers we have counts for
17 papers
Leverage classifier: Another look at support vector machine
Yixin Han, Jun Yu, Nan Zhang +4
Support vector machine (SVM) is a popular classifier known for accuracy, flexibility, and robustness. However, its intensive computation has hindered its application to large-scale…
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation
Jingyi Zhang, Cheng Meng, Jun Yu +3
Subsampling methods aim to select a subsample as a surrogate for the observed sample. Such methods have been used pervasively in large-scale data analytics, active learning, and pr…
B-scaling: A Novel Nonparametric Data Fusion Method
Yiwen Liu, Xiaoxiao Sun, Wenxuan Zhong +1
Very often for the same scientific question, there may exist different techniques or experiments that measure the same numerical quantity. Historically, various methods have been d…
A Model-free Variable Screening Method Based on Leverage Score
Wenxuan Zhong, Yiwen Liu, Peng Zeng
With rapid advances in information technology, massive datasets are collected in all fields of science, such as biology, chemistry, and social science. Useful or meaningful informa…
Smoothing splines approximation using Hilbert curve basis selection
Cheng Meng, Jun Yu, Yongkai Chen +2
Smoothing splines have been used pervasively in nonparametric regressions. However, the computational burden of smoothing splines is significant when the sample size is large.…
Model-based Sparse Coding beyond Gaussian Independent Model
Xin Xing, Rui Xie, Wenxuan Zhong
Sparse coding aims to model data vectors as sparse linear combinations of basis elements, but a majority of related studies are restricted to continuous data without spatial or tem…