323 citations · 607 across the 25 of their papers we have counts for
5 papers · 1 filter
An additive graphical model for discrete data
Jun Tao, Bing Li, Lingzhou Xue
We introduce a nonparametric graphical model for discrete node variables based on additive conditional independence. Additive conditional independence is a three way statistical re…
Dimension Reduction for Fréchet Regression
Qi Zhang, Lingzhou Xue, Bing Li
With the rapid development of data collection techniques, complex data objects that are not in the Euclidean space are frequently encountered in new statistical applications. Fréch…
Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing
Xiufan Yu, Danning Li, Lingzhou Xue +1
Power-enhanced tests with high-dimensional data have received growing attention in theoretical and applied statistics in recent years. Existing tests possess their respective high-…
Robust High-Dimensional Regression with Coefficient Thresholding and its Application to Imaging Data Analysis
Bingyuan Liu, Qi Zhang, Lingzhou Xue +2
It is of importance to develop statistical techniques to analyze high-dimensional data in the presence of both complex dependence and possible outliers in real-world applications s…
Improving Neural Network Robustness through Neighborhood Preserving Layers
Bingyuan Liu, Christopher Malon, Lingzhou Xue +1
Robustness against adversarial attack in neural networks is an important research topic in the machine learning community. We observe one major source of vulnerability of neural ne…