Preprints

• Optimal convex M-estimation via score matching
  Oliver Feng, Yu-Chun Kao, Min Xu, Richard Samworth (2024) [arXiv]

• An empirical Bayes shrinkage method for functional data

Joshua Derenski, Yingying Fan, Gareth James, and Min Xu. (2022)

Submitted.

• Learning High-Dimensional Concave Utility Functions for Discrete Choice Models
  Yuxue Qi, Min Xu, and John Lafferty (2016)
  [Paper and Supplementary Materials] 

Publications

* indicator alphabetical authorship ordering.

• Multiscale tests  for point processes and longitudinal networks
  Youmeng Jiang and Min Xu. (2024) Under revision at Statistica Sinica

• Choosing the p in Lp loss: rate adaptivity on the symmetric location problem

Yu-Chun Kao, Min Xu, and Cun-hui Zhang. (2024) [arXiv]  Submitted

• Root and community inference on the latent growth process of a network

Harry Crane* and Min Xu*. (2023)

To appear, Journal of the Royal Statistical Society, Series B (with discussion).

[arXiv]

• Inference on the history of randomly growing trees
  Harry Crane* and Min Xu*. (2021)
  Journal of the Royal Statistical Society: Series B.
  [Paper] 

• High-dimensional nonparametric density estimation via shape and symmetry constraints
  Min Xu and Richard J. Samworth. (2021)
  Annals of Statistics.
  [Paper] [Supplementary Materials] 

• Optimal rates for community estimation on the weighted stochastic block model
  Min Xu, Varun Jog, and Po-Ling Loh (2020)
  Annals of Statistics.
  [Paper and Supplementary Materials] 

• Faithful variable screening for high-dimensional convex regression
  Min Xu, Minhua Chen, John Lafferty (2016)
  Annals of Statistics.
  [Paper and Supplementary Materials] 

• Representing documents through their users
  Khalid El-Arini, Min Xu, Emily Fox, Carlos Guestrin (2013)
  KDD 2013.
  [Paper] 

• Estimation bias in multi-armed bandit algorithms for search advertising
  Min Xu, Tao Qin, Tie-Yan Liu (2013)
  NeurIPS 2013.
  [Paper and Supplementary Materials] 

• Conditional sparse coding and multivariate regression for grouped data
  Min Xu and John Lafferty (2012)
  ICML 2012.
  [Paper] [Supplementary Materials] 

• Robust active spectral clustering
  Akshay Krishnamurthy, Sivaraman Balakrishnan, Min Xu, Aarti Singh (2012)
  ICML 2012.
  [Paper] 

• High-dimensional covariance estimation based on Gaussian graphical models.
  Shuheng Zhou, Phillip Rutimann, Min Xu, Peter Buhlmann (2011)
  Journal of Machine Learning Research.
  [Paper] 

• Noise thresholds for spectral clustering.
  Sivaraman Balakrishnan, Min Xu, Akshay Krishnamurthy, Aarti Singh (2011)
  NeurIPS 2011.
  [Paper] 

• Forest density estimator.
  Han Liu, Min Xu, Haijie (Jay) Gu, John Lafferty, Larry Wasserman, Anupam Gupta (2011)
  Journal of Machine Learning Research.
  Preliminary version appeared in COLT 2010.
  [Paper and Supplementary Materials] 

Technical Reports

• Targeting Lost College Potential
  Nihar Shah, Edward Su, and Min Xu
  Technical Report.
  [Paper]