Publication of Xu Huan

Book Chapters

• C. Caramanis, S. Mannor, H. Xu, "Robust Optimization in Machine Learning", book chapter in " Optimization for Machine Learning", S. Sra, S. Nowozin and S. Wright eds, MIT press, 2011.
  



Journal Articles:



• H. Xu, C. Caramanis, S. Mannor, "Statistical Optimization in High Dimensions", Operations Research, forthcoming.



• S. Mannor, O. Mebel, H. Xu, "Robust MDPs with k-Rectangular Uncertainty", Mathematics of Operations Research, forthcoming.



• S. Lim, H. Xu, S. Mannor, "Reinforcement Learning in Robust Markov Decision Processes", Mathematics of Operations Research, forthcoming.



• Y. Chen, H. Xu, C. Caramanis, S. Sanghavi, "Matrix Completion with Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs", IEEE Transactions on Information Theory, Forthcoming.



• P. Yu, H. Xu, "Distributionally Robust Counterpart in Markov Decision Processes", IEEE Transactions on Automatic Control, Forthcoming.



• Y. Wang, H. Xu, "Noisy Sparse Subspace Clustering", Journal of Machine Learning Research, Forthcoming.



• G. Liu, H. Xu, J. Tang, Q. Liu. S. Yan, "A Deterministic Analysis for LRR", IEEE Transactioin on Pattern Analysis and Machine Intelligence, Forthcoming.



• W. Yang, H. Xu " Distributionally Robust Chance Constraints for Non-Linear Uncertainties", Mathematical Programming, Forthcoming.



• J. Feng, X. Yuan, Z. Wang, H. Xu, S. Yan "Auto-grouped Sparse Representation for Visual Analysis", IEEE Transactioin on Image Processing, 23(12), pp5390-5399, 2014.



• N. Ailon, Y. Chen, H. Xu, "Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints", Journal of Machine Learning Research, 16, pp455-490, 2015.



• Y. Chen, S. Sanghavi, H. Xu, "Improved Graph Clustering", IEEE Transactions on Information Theory, 60(10), pp6440-6455, 2014.



• Y. Chen, A. Jalali, S. Sanghavi, H. Xu, "Clustering Partially Observed Graphs via Convex Optimization", Journal of Machine Learning Research, 15, pp2213-2238, 2014.



• S. Abeygunawardane, P. Jirutitijaroen, H. Xu, "Adaptive Maintenance Policies for Ageing Devices Using Markov Decision Process", IEEE Transactions on Power Systems, 28(3), pp3194-3203, 2013.



• H. Xu, C. Caramanis, S. Mannor, "Outlier-Robust PCA: the High-Dimensional Case", IEEE Transactions on Information Theory, 59(1), pp546-572, 2013.
  Previously under the title "Principle Component Analysis with Contaminated Data: The High Dimensional Case". Matlab Code



• H. Xu, C. Caramanis, S. Mannor, "Optimization under Probabilstic Envelope Constraints", Operations Research, 60(3), pp682-699, 2012.
  


• H. Xu, S. Mannor, "Distributionally Robust Markov Decision Processes", Mathematics of Operations Research, 37(2), pp288-300, 2012.
  


• H. Xu, C. Caramanis, S. Mannor, "A Distributional Interpretation to Robust Optimization", Mathematics of Operations Research, 37(1), pp95-110, 2012.
  


• H. Xu, S. Mannor, "Robustness and Generalization", Machine Learning, 86(3), pp391-423, 2012.
  


• H. Xu, C. Caramanis, S. Mannor, "Sparse Algorithms are Not Stable: A No-free-lunch Theorem", IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(1), pp187-193, 2012.
  


• H. Xu, C. Caramanis, S. Sanghavi, "Robust PCA via Outlier Pursuit", IEEE Transactions on Information Theory, 58(5), pp3047-3064, 2012.
  Matlab Code
  


• H. Xu, C. Caramanis, S. Mannor, " Robust Regression and Lasso", IEEE Transactions on Information Theory, 56(7), pp3561-3574, 2010.
  


• H. Xu, C. Caramanis, S. Mannor, "Robustness and Regularization of Support Vector Machines", Journal of Machine Learning Research, 10(Aug), pp1485-1510, 2009.
  


• H. Xu, S. Mannor, "A Kalman Filter Design Based on the Performance/Robustness Tradeoff", IEEE Transactions on Automatic Control, 54(5), pp1171-1175, 2009.
  


• Y. Zhou, A. Tay, Z.Y. Dong, H.H. Ng, H. Xu, "Searching Oligo sets of Human Chromosome 12 using Evolutionary Strategies", International Journal of Systems Sciencel, 35(13-14), pp787-800, 2004.
  

Conference Proceedings:

• C. Qu and H. Xu (2015). "Subspace Clustering with Irrelevant Features via Robust Dantzig Selector", in NIPS 2015, Montreal, 2015.
  


• W. Yang and H. Xu (2015). "A Unified Framework for Outlier-Robust PCA-like Algorithms", in ICML 2015, Lille France, 2015.
  


• W. Yang and H. Xu (2015). "Streaming Sparse Principal Component Analysis", in ICML 2015, Lille France, 2015.
  


• W. Yang and H. Xu (2015). "A Divide and Conquer Framework for Distributed Graph Clustering", in ICML 2015, Lille France, 2015.
  


• S. Lim, Y. Chen and H. Xu (2015). "A Convex Optimization Framework for Bi-Clustering", in ICML 2015, Lille France, 2015.
  


• J. Feng, H. Xu, S. Mannor, and S. Yan (2014). "Robust Logistic Regression and Classification", in NIPS 2014, Montreal, 2014.
  


• S. Lim, Y. Chen and H. Xu (2014). "Clustering from Labels and Time-Varying Graphs", in NIPS 2014, Montreal, 2014.
  


• C. Zhu, H. Xu, C. Leng and S. Yan (2014). "Convex Optimization Procedure for Clustering: Theoretical Revisit", in NIPS 2014, Montreal, 2014.
  


• J. Shen, H. Xu and P. Li (2014). "Online Optimization for Max-Norm Regularization", in NIPS 2014, Montreal, 2014.
  


• Y. Chen, S. Lim and H. Xu (2014). "Weighted Graph Clustering with Non-Uniform Uncertainties", in ICML 2014, Beijing, 2014. Supplementary material
  


• A. Tamar, S. Mannor and H. Xu (2014). "Scaling Up Robust MDPs using Function Approximation", in ICML 2014, Beijing, 2014. Supplementary material
  


• W. Yang, M. Sim and H. Xu (2014). "The Coherent Loss Function for Classification", in ICML 2014, Beijing, 2014. Supplementary material
  


• J. Feng, Z. Lin, H. Xu and S. Yan (2014). "Robust Subspace Segmentation with Laplacian Constraint", in CVPR 2014 (Oral).



• D. Vainsencher, S. Mannor and H. Xu (2013). "Learning Multiple Models via Regularized Weighting", in NIPS 2013, Lake Tahoe, 2013. Supplementary material
  


• J. Feng, H. Xu, S. Mannor and S. Yan (2013). "Online PCA for Contaminated Data", in NIPS 2013, Lake Tahoe, 2013. Supplementary material
  


• S. Lim, H. Xu, and S. Mannor (2013). "Reinforcement Learning in Robust Markov Decision Processes", in NIPS 2013, Lake Tahoe, 2013. Supplementary material
  


• J. Feng, H. Xu, and S. Yan (2013). "Online Robust PCA via Stochastic Optimization", in NIPS 2013, Lake Tahoe, 2013. Supplementary material
  


• Y. Wang, H. Xu, and C. Leng (2013). "Provable Subspace Clustering: When LRR meets SSC", in NIPS 2013, Lake Tahoe, 2013. Supplementary material
  


• W. Yang, and H. Xu (2013). "A Unified Robust Regression Model for Lasso-like Algorithms", in ICML 2013, Atlanta, 2013. Supplementary material
  


• N. Ailon, Y. Chen and H. Xu (2013). "Breaking the Small Cluster Barrier of Graph Clustering ", in ICML 2013, Atlanta, 2013.
  


• Y. Wang, and H. Xu (2013). "Noisy Sparse Subspace Clustering", in ICML 2013, Atlanta, 2013. Supplementary material
  


• Y. Chen, S. Sanghavi, and H. Xu (2012). "Clustering Sparse Graphs", in NIPS 2012, Lake Tahoe, 2012.
  


• J. Feng, X. Yuan, Z. Wang, H. Xu, and S. Yan, (2012). "Auto-grouped Sparse Representation for Visual Analysis" , ECCV 2012.
  


• J. Feng, H. Xu and S. Yan, (2012). "Robust PCA in High-dimension: A Deterministic Approach", ICML 2012, Edinburgh, 2012. Supplementary material
  


• S. Mannor, O. Mebel and H. Xu, (2012). "Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty", ICML 2012, Edinburgh, 2012. Supplementary material
  


• Y. Wang, and H. Xu, (2012). "Stability of Matrix Factorization for Collaborative Filtering", ICML 2012, Edinburgh, 2012. Supplementary material
  


• H. Xu, C. Caramanis and S. Mannor, (2012). "Statistical Optimization in High Dimensions", AISTATS 2012. Matlab Code
  


• H. Xu, C. Leng, (2012). "Robust Multi-task Regression with Grossly Corrupted Observations ", AISTATS 2012.
  


• G. Liu, H. Xu and S. Yan, (2012). "Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation ", AISTATS 2012.
  


• H. Xu, and S. Mannor, (2011). Probabilistic Goal Markov Decision Processes, IJCAI 2011, Barcelona, 2011.
  


• Y. Chen, H. Xu, C. Caramanis and S. Sanghavi, (2011). "Robust Matrix Completion with Corrupted Columns", in ICML 2011, Seattle, 2011.
  


• A. Jalali, Y. Chen, S. Sanghavi and H. Xu, (2011). "Clustering Partially Observed Graphs via Convex Optimization", in ICML 2011, Seattle, 2011.
  


• H. Xu and S. Mannor, (2010). "Distributionally Robust Markov Decision Processes", in NIPS 2010, Vancouver, 2010.
  


• H. Xu, C. Caramanis and S. Sanghavi, (2010). "Robust PCA via Outlier Pursuit", in NIPS 2010 Vancouver, 2010.
  


• H. Xu, C. Caramanis and S. Mannor, (2010). "A Distributional Interpretation to Robust Optimization", in Forty-Eighth Annual Allerton Conference on Communication, Control, and Computing (Allerton),  Monticello, Illinois, 2010.
  


• H. Xu and S. Mannor, (2010). "Robustness and Generalization", in COLT 2010 Haifa, Israel, 2010.
  


• H. Xu, C. Caramanis and S. Mannor, (2010). "Principal Component Analysis with Contaminated Data: the High-Dimensional Case", in COLT 2010, Haifa, Israel, 2010.
  


• H. Xu and S. Mannor, "Parametric Regret in Uncertain Markov Decision Processes", in 48th IEEE Conference on Decision and Control  (CDC09),  Shanghai, China, 2009.
  


• H. Xu, C. Caramanis, S. Mannor and S. Yun, "Risk Sensitive Robust Support Vector Machines", in 48th IEEE Conference on Decision and Control  (CDC09),  Shanghai, China, 2009.
  


• H. Xu, C. Caramanis and S. Mannor, "Robust Regression and Lasso", in NIPS 08, Vancouver, 2008.
  


•  H. Xu and S. Mannor, "A Kalman Filter Design Based on the Performance/Robustness Tradeoff'', in Proceedings of Forty-Fifth Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp59-63,  Monticello, Illinois, 2007.
  


• H. Xu and S. Mannor, "The Robustness-Performance Tradeoff in Markov Decision Processes in NIPS 06 pp1537--1544, Vancouver, 2006.
  


• Y.Y. Joe, H. Xu, Z.Y. Dong, H.H. Ng and A. Tay, "Searching Oligo Sets of Human Chromosome 12 using Evolutionary Strategies'', in The 2003 Congress on Evolutionary Computation (CEC), Vol 2, pp1288-1293, 2003.

Ph. D. Disertation

• "Robust Decision Making and its Applications in Machine Learning", McGill University, Canada, 2009.

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