4 citations · 5 across the 3 of their papers we have counts for
4 papers
Inference in High-dimensional Multivariate Response Regression with Hidden Variables
Xin Bing, Wei Cheng, Huijie Feng +1
This paper studies the inference of the regression coefficient matrix under multivariate response linear regressions in the presence of hidden variables. A novel procedure for cons…
Test of Significance for High-dimensional Thresholds with Application to Individualized Minimal Clinically Important Difference
Huijie Feng, Jingyi Duan, Yang Ning +1
This work is motivated by learning the individualized minimal clinically important difference, a vital concept to assess clinical importance in various biomedical studies. We formu…
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
Huijie Feng, Chunpeng Wu, Guoyang Chen +2
Recently smoothing deep neural network based classifiers via isotropic Gaussian perturbation is shown to be an effective and scalable way to provide state-of-the-art probabilistic…
Nonregular and Minimax Estimation of Individualized Thresholds in High Dimension with Binary Responses
Huijie Feng, Yang Ning, Jiwei Zhao
Given a large number of covariates , we consider the estimation of a high-dimensional parameter in an individualized linear threshold for a continuous variable ,…