Robust PCA via outlier pursuit H Xu, C Caramanis, S Sanghavi arXiv preprint arXiv:1010.4237, 2010 | 881 | 2010 |
Time series data augmentation for deep learning: A survey Q Wen, L Sun, F Yang, X Song, J Gao, X Wang, H Xu arXiv preprint arXiv:2002.12478, 2020 | 740 | 2020 |
Robustness and regularization of support vector machines H Xu, C Caramanis, S Mannor The Journal of Machine Learning Research 10, 1485-1510, 2009 | 582 | 2009 |
Robustness and generalization H Xu, S Mannor Machine learning 86 (3), 391-423, 2012 | 499 | 2012 |
Robust regression and Lasso H Xu, C Caramanis, S Mannor Information Theory, IEEE Transactions on 56 (7), 3561-3574, 2010 | 370 | 2010 |
Online Robust PCA via Stochastic Optimization J Feng, H Xu, S Yan Advances in Neural Information Processing Systems, 404-412, 2013 | 329 | 2013 |
Distributionally robust markov decision processes H Xu, S Mannor Mathematics of Operations Research 37 (2), 288-300, 2012 | 280 | 2012 |
Sparse algorithms are not stable: A no-free-lunch theorem H Xu, C Caramanis, S Mannor IEEE transactions on pattern analysis and machine intelligence 34 (1), 187-193, 2012 | 255 | 2012 |
Robust subspace segmentation with block-diagonal prior J Feng, Z Lin, H Xu, S Yan Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 242 | 2014 |
Provable Subspace Clustering: When LRR meets SSC YX Wang, H Xu, C Leng Advances in Neural Information Processing Systems, 64-72, 2013 | 241 | 2013 |
Noisy sparse subspace clustering YX Wang, H Xu Journal of Machine Learning Research 17 (12), 1-41, 2016 | 239 | 2016 |
Outlier-Robust PCA: The High-Dimensional Case H Xu, C Caramanis, S Mannor IEEE, 0 | 224* | |
Clustering partially observed graphs via convex optimization. Y Chen, A Jalali, S Sanghavi, H Xu Journal of Machine Learning Research 15 (1), 2213-2238, 2014 | 208* | 2014 |
Fake news mitigation via point process based intervention M Farajtabar, J Yang, X Ye, H Xu, R Trivedi, E Khalil, S Li, L Song, H Zha arXiv preprint arXiv:1703.07823, 2017 | 206 | 2017 |
Robust Logistic Regression and Classification J Feng, H Xu, S Mannor, S Yan Advances in Neural Information Processing Systems, 253-261, 2014 | 201 | 2014 |
Clustering sparse graphs Y Chen, S Sanghavi, H Xu Advances in neural information processing systems, 2204-2212, 2012 | 192 | 2012 |
RobustSTL: A robust seasonal-trend decomposition algorithm for long time series Q Wen, J Gao, X Song, L Sun, H Xu, S Zhu Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 5409-5416, 2019 | 182 | 2019 |
Robusttad: Robust time series anomaly detection via decomposition and convolutional neural networks J Gao, X Song, Q Wen, P Wang, L Sun, H Xu arXiv preprint arXiv:2002.09545, 2020 | 156 | 2020 |
Scaling Up Robust MDPs using Function Approximation A Tamar, S Mannor, H Xu Proceedings of the 31st International Conference on Machine Learning (ICML …, 2014 | 147 | 2014 |
Robust matrix completion with corrupted columns Y Chen, H Xu, C Caramanis, S Sanghavi arXiv preprint arXiv:1102.2254, 2011 | 146 | 2011 |