5 citations · 21 across the 19 of their papers we have counts for
4 papers · 1 filter
Detecting approximate replicate components of a high-dimensional random vector with latent structure
Xin Bing, Florentina Bunea, Marten Wegkamp
High-dimensional feature vectors are likely to contain sets of measurements that are approximate replicates of one another. In complex applications, or automated data collection, t…
Prediction in latent factor regression: Adaptive PCR and beyond
Xin Bing, Florentina Bunea, Seth Strimas-Mackey +1
This work is devoted to the finite sample prediction risk analysis of a class of linear predictors of a response from a high-dimensional random vector $X\in \math…
Adaptive Estimation in Multivariate Response Regression with Hidden Variables
Xin Bing, Yang Ning, Yaosheng Xu
This paper studies the estimation of the coefficient matrix $\Ttheta$ in multivariate regression with hidden variables, $Y = (\Ttheta)^TX + (B^*)^TZ + E$, where is a -dimens…
Optimal estimation of sparse topic models
Xin Bing, Florentina Bunea, Marten Wegkamp
Topic models have become popular tools for dimension reduction and exploratory analysis of text data which consists in observed frequencies of a vocabulary of words in docu…