Publications

Journal Articles

1. Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures

   Xin Bing, and Marten Wegkamp

   Biometrika, Mar 2024

   Bib

   @article{bing2024interpolating,
     author = {Bing, Xin and Wegkamp, Marten},
     title = {Interpolating Discriminant Functions in High-Dimensional Gaussian Latent Mixtures},
     journal = {Biometrika},
     volume = {111},
     number = {1},
     pages = {291--308},
     month = mar,
     year = {2024},
     url = {https://academic.oup.com/biomet/advance-article-abstract/doi/10.1093/biomet/asad037/7192166?redirectedFrom=fulltext}
   }

2. Inference in High-dimensional Multivariate Response Regression with Hidden Variables

   Xin Bing, Wei Cheng, Huijie Feng, and Yang Ning

   Journal of the American Statistical Association (Theory & Method), Sep 2023
3. Optimal Discriminant Analysis in High-Dimensional Latent Factor Models

   Xin Bing, and Marten Wegkamp

   Annals of Statistics, Jun 2023
4. Detecting approximate replicate components of a high-dimensional random vector with latent structure

   Xin Bing, Florentina Bunea, and Marten Wegkamp

   Bernoulli, May 2023
5. Unique sparse decomposition of low rank matrices

   Dian Jin, Xin Bing, and Yuqian Zhang

   IEEE Transactions on Information Theory, Apr 2023
6. Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations

   Xin Bing, Florentina Bunea, Seth Strimas-Mackey, and Marten Wegkamp

   Annals of Statistics, Dec 2022
7. Inference in interpretable latent factor regression models

   Xin Bing, Florentina Bunea, and Marten Wegkamp

   Bernoulli, May 2022
8. Adaptive estimation of multivariate regression with hidden variables

   Xin Bing, Yang Ning, and Yaosheng Xu

   Annals of Statistics, May 2022
9. Prediction in latent factor regression: Adaptive PCR and beyond

   Xin Bing, Florentina Bunea, Seth Strimas-Mackey, and Marten Wegkamp

   The Journal of Machine Learning Research, May 2021
10. Optimal estimation of sparse topic models

    Xin Bing, Florentina Bunea, and Marten Wegkamp

    The Journal of Machine Learning Research, May 2020
11. A fast algorithm with minimax optimal guarantees for topic models with an unknown number of topics

    Xin Bing, Florentina Bunea, and Marten Wegkamp

    Bernoulli, May 2020
12. Adaptive estimation in structured factor models with applications to overlapping clustering

    Xin Bing, Florentina Bunea, Yang Ning, and Marten Wegkamp

    Annals of Statistics, May 2020
13. Adaptive estimation of the rank of the coefficient matrix in high-dimensional multivariate response regression models

    Xin Bing, and Marten Wegkamp

    Annals of Statistics, May 2019
14. SLIDE: Significant Latent Factor Interaction Discovery and Exploration across biological domains

    Javad Rahimikollu, Hanxi Xiao, Anna E. Rosengart, Tracy Tabib, and 9 more authors

    Nature Methods, Feb 2024
15. Essential Regression – a generalizable framework for inferring causal latent factors from multi-omic human datasets

    Xin Bing, Tyler Lovelace, Florentina Bunea, Marten Wegkamp, and 3 more authors

    Patterns, Feb 2022
16. Latent model-based clustering for biological discovery

    Xin Bing, Florentina Bunea, Martin Royer, and Jishnu Das

    iScience, Feb 2019
17. Discussion of random-projection ensemble classification by Timothy I. Cannings and Richard J. Samworth

    Xin Bing, and Marten Wegkamp

    Journal of the Royal Statistical Society: Series B (Statistical Methodology), Feb 2017

Conference Articles

1. Unique sparse decomposition of low rank matrices

   Dian Jin, Xin Bing, and Yuqian Zhang

   Feb 2021