5 citations · 21 across the 19 of their papers we have counts for
4 papers · 1 filter
Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures
Xin Bing, Marten Wegkamp
This paper considers binary classification of high-dimensional features under a postulated model with a low-dimensional latent Gaussian mixture structure and non-vanishing noise. A…
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
Xin Bing, Marten Wegkamp
In high-dimensional classification problems, a commonly used approach is to first project the high-dimensional features into a lower dimensional space, and base the classification…
Estimation and inference for the Wasserstein distance between mixing measures in topic models
Xin Bing, Florentina Bunea, Jonathan Niles-Weed
The Wasserstein distance between mixing measures has come to occupy a central place in the statistical analysis of mixture models. This work proposes a new canonical interpretation…
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…