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