Suivre
Min Xu
Min Xu
Adresse e-mail validée de stat.rutgers.edu
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Année
High-dimensional covariance estimation based on Gaussian graphical models
S Zhou, P Rütimann, M Xu, P Bühlmann
The Journal of Machine Learning Research 12, 2975-3026, 2011
1182011
Forest density estimation
H Liu, M Xu, H Gu, A Gupta, J Lafferty, L Wasserman
The Journal of Machine Learning Research 12, 907-951, 2011
1172011
Noise thresholds for spectral clustering
S Balakrishnan, M Xu, A Krishnamurthy, A Singh
Advances in Neural Information Processing Systems 24, 2011
1152011
Efficient active algorithms for hierarchical clustering
A Krishnamurthy, S Balakrishnan, M Xu, A Singh
International Conference on Machine Learning, 2012
1002012
Optimal rates for community estimation in the weighted stochastic block model
M Xu, V Jog, PL Loh
The Annals of Statistics 48 (1), 183-204, 2020
702020
Estimation bias in multi-armed bandit algorithms for search advertising
M Xu, T Qin, TY Liu
Advances in Neural Information Processing Systems 26, 2013
522013
Representing documents through their readers
K El-Arini, M Xu, EB Fox, C Guestrin
Proceedings of the 19th acm sigkdd international conference on knowledge …, 2013
282013
Faithful variable screening for high-dimensional convex regression
M Xu, M Chen, J Lafferty
252016
High-dimensional nonparametric density estimation via symmetry and shape constraints
M Xu, RJ Samworth
212021
Inference on the history of a randomly growing tree
H Crane, M Xu
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021
112021
Completion of high-rank ultrametric matrices using selective entries
A Singh, A Krishnamurthy, S Balakrishnan, M Xu
2012 International Conference on Signal Processing and Communications (SPCOM …, 2012
72012
Shape-constrained estimation in high dimensions
M Xu
Carnegie Mellon University, 2015
42015
Conditional sparse coding and grouped multivariate regression
M Xu, J Lafferty
International Conference on Machine Learning, 2012
42012
Root and community inference on latent network growth processes using noisy attachment models
H Crane, M Xu
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023
32023
Root and community inference on the latent growth process of a network using noisy attachment models
H Crane, M Xu
arXiv preprint arXiv:2107.00153, 2021
32021
Learning High-Dimensional Concave Utility Functions for Discrete Choice Models
Y Qi, M Xu, J Lafferty
Preprint, 2014
32014
Root and community inference on the latent growth process of a network
H Crane, M Xu
2023 IMS International Conference on Statistics and Data Science (ICSDS), 228, 2023
12023
Rate adaptive estimation of the center of a symmetric distribution
YC Kao, M Xu, CH Zhang
arXiv e-prints, arXiv: 2303.01992, 2023
12023
Supplement to “Optimal rates for community estimation in the weighted stochastic block model.”
M Xu, V Jog, PL Loh
12020
Optimal convex -estimation via score matching
OY Feng, YC Kao, M Xu, RJ Samworth
arXiv preprint arXiv:2403.16688, 2024
2024
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