| 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 | 127 | 2011 |
| 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 | 121 | 2011 |
| Noise thresholds for spectral clustering S Balakrishnan, M Xu, A Krishnamurthy, A Singh Advances in Neural Information Processing Systems 24, 2011 | 120 | 2011 |
| Efficient active algorithms for hierarchical clustering A Krishnamurthy, S Balakrishnan, M Xu, A Singh International Conference on Machine Learning, 2012 | 103 | 2012 |
| 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 | 90 | 2020 |
| Estimation bias in multi-armed bandit algorithms for search advertising M Xu, T Qin, TY Liu Advances in Neural Information Processing Systems 26, 2013 | 55 | 2013 |
| Inference on the history of a randomly growing tree H Crane, M Xu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 29 | 2021 |
| Faithful variable screening for high-dimensional convex regression M Xu, M Chen, J Lafferty | 28 | 2016 |
| 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 | 28 | 2013 |
| High-dimensional nonparametric density estimation via symmetry and shape constraints M Xu, RJ Samworth | 24 | 2021 |
| 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 | 11* | 2021 |
| 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 | 7 | 2012 |
| Optimal convex -estimation via score matching OY Feng, YC Kao, M Xu, RJ Samworth arXiv preprint arXiv:2403.16688, 2024 | 5 | 2024 |
| Shape-constrained estimation in high dimensions M Xu Carnegie Mellon University, 2015 | 4 | 2015 |
| Conditional sparse coding and grouped multivariate regression M Xu, J Lafferty International Conference on Machine Learning, 2012 | 4 | 2012 |
| Learning High-Dimensional Concave Utility Functions for Discrete Choice Models Y Qi, M Xu, J Lafferty Preprint, 2014 | 3 | 2014 |
| Choosing the p in Lp Loss: Adaptive Rates for Symmetric Mean Estimation YC Kao, M Xu, CH Zhang The Thirty Seventh Annual Conference on Learning Theory, 2795-2839, 2024 | 1 | 2024 |
| Supplement to “Optimal rates for community estimation in the weighted stochastic block model.” M Xu, V Jog, PL Loh | 1 | 2020 |
| Authors’ reply to the Discussion of ‘Root and community inference on the latent growth process of a network’ H Crane, M Xu Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | | 2024 |
| Multiscale Tests for Point Processes and Longitudinal Networks Y Jiang Rutgers The State University of New Jersey, School of Graduate Studies, 2024 | | 2024 |
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityVerified email at cmu.edu