Huan Xu

According to our database, Huan Xu authored at least 84 papers between 2006 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection.

Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Time Series Data Augmentation for Deep Learning: A Survey.

Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks.

Kuangqi Zhou, Yanfei Dong, Kaixin Wang, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Goal scoring, coherent loss and applications to machine learning.

Wenzhuo Yang, Melvyn Sim, Huan Xu

Math. Program., 2020

Mitigating Interdiction Risk with Fortification.

Le Thi Khanh Hien, Melvyn Sim, Huan Xu

Oper. Res., 2020

Effective Training Strategies for Deep Graph Neural Networks.

Kuangqi Zhou, Yanfei Dong, Wee Sun Lee, Bryan Hooi, Huan Xu, Jiashi Feng

CoRR, 2020

Time Series Data Augmentation for Deep Learning: A Survey.

Qingsong Wen, Liang Sun, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu

CoRR, 2020

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks.

Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu

CoRR, 2020

RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection.

Qingsong Wen, Kai He, Liang Sun, Yingying Zhang, Min Ke, Huan Xu

CoRR, 2020

2019

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization.

Le Thi Khanh Hien, Cuong V. Nguyen, Huan Xu, Canyi Lu, Jiashi Feng

J. Optim. Theory Appl., 2019

Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets.

Zhi Chen, Melvyn Sim, Huan Xu

Oper. Res., 2019

Efficient Meta Learning via Minibatch Proximal Update.

Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning.

Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Nonlinear Distributional Gradient Temporal-Difference Learning.

Chao Qu, Shie Mannor, Huan Xu

Proceedings of the 36th International Conference on Machine Learning, 2019

RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series.

Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Approximate Value Iteration for Risk-Aware Markov Decision Processes.

Pengqian Yu, William B. Haskell, Huan Xu

IEEE Trans. Autom. Control., 2018

Projection-Free Algorithms in Statistical Estimation.

Yan Li, Chao Qu, Huan Xu

CoRR, 2018

Communication-Efficient Projection-Free Algorithm for Distributed Optimization.

Yan Li, Chao Qu, Huan Xu

CoRR, 2018

Fast Global Convergence via Landscape of Empirical Loss.

Chao Qu, Yan Li, Huan Xu

CoRR, 2018

Non-convex Conditional Gradient Sliding.

Chao Qu, Yan Li, Huan Xu

Proceedings of the 35th International Conference on Machine Learning, 2018

Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms.

Tom Zahavy, Bingyi Kang, Alex Sivak, Jiashi Feng, Huan Xu, Shie Mannor

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Clustering from General Pairwise Observations with Applications to Time-varying Graphs.

Shiau Hong Lim, Yudong Chen, Huan Xu

J. Mach. Learn. Res., 2017

Linear convergence of SDCA in statistical estimation.

Chao Qu, Huan Xu

CoRR, 2017

Outlier Robust Online Learning.

Jiashi Feng, Huan Xu, Shie Mannor

CoRR, 2017

Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization.

Daniel Vainsencher, Shie Mannor, Huan Xu

Proceedings of the 30th Conference on Learning Theory, 2017

Dynamic programming for risk-aware sequential optimization.

Pengqian Yu, William B. Haskell, Huan Xu

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016

Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs.

Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi

IEEE Trans. Inf. Theory, 2016

A Deterministic Analysis for LRR.

Guangcan Liu, Huan Xu, Jinhui Tang, Qingshan Liu, Shuicheng Yan

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Distributionally robust chance constraints for non-linear uncertainties.

Wenzhuo Yang, Huan Xu

Math. Program., 2016

Robust MDPs with <i>k</i>-Rectangular Uncertainty.

Shie Mannor, Ofir Mebel, Huan Xu

Math. Oper. Res., 2016

Reinforcement Learning in Robust Markov Decision Processes.

Shiau Hong Lim, Huan Xu, Shie Mannor

Math. Oper. Res., 2016

Linear Convergence of SVRG in Statistical Estimation.

Chao Qu, Huan Xu

CoRR, 2016

Ensemble Robustness of Deep Learning Algorithms.

Jiashi Feng, Tom Zahavy, Bingyi Kang, Huan Xu, Shie Mannor

CoRR, 2016

Fast Rate Analysis of Some Stochastic Optimization Algorithms.

Chao Qu, Huan Xu, Chong Jin Ong

Proceedings of the 33nd International Conference on Machine Learning, 2016

Online Collaborative Learning for Open-Vocabulary Visual Classifiers.

Hanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huan-Bo Luan, Tat-Seng Chua

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Iterative and active graph clustering using trace norm minimization without cluster size constraints.

Nir Ailon, Yudong Chen, Huan Xu

J. Mach. Learn. Res., 2015

Subspace Clustering with Irrelevant Features via Robust Dantzig Selector.

Chao Qu, Huan Xu

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Divide and Conquer Framework for Distributed Graph Clustering.

Wenzhuo Yang, Huan Xu

Proceedings of the 32nd International Conference on Machine Learning, 2015

Streaming Sparse Principal Component Analysis.

Wenzhuo Yang, Huan Xu

Proceedings of the 32nd International Conference on Machine Learning, 2015

A Unified Framework for Outlier-Robust PCA-like Algorithms.

Wenzhuo Yang, Huan Xu

Proceedings of the 32nd International Conference on Machine Learning, 2015

A Convex Optimization Framework for Bi-Clustering.

Shiau Hong Lim, Yudong Chen, Huan Xu

Proceedings of the 32nd International Conference on Machine Learning, 2015

2014

Improved Graph Clustering.

Yudong Chen, Sujay Sanghavi, Huan Xu

IEEE Trans. Inf. Theory, 2014

Autogrouped Sparse Representation for Visual Analysis.

Jiashi Feng, Xiao-Tong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan

IEEE Trans. Image Process., 2014

Clustering partially observed graphs via convex optimization.

Yudong Chen, Ali Jalali, Sujay Sanghavi, Huan Xu

J. Mach. Learn. Res., 2014

Distributed Robust Learning.

Jiashi Feng, Huan Xu, Shie Mannor

CoRR, 2014

Convex Optimization Procedure for Clustering: Theoretical Revisit.

Changbo Zhu, Huan Xu, Chenlei Leng, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Clustering from Labels and Time-Varying Graphs.

Shiau Hong Lim, Yudong Chen, Huan Xu

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Robust Logistic Regression and Classification.

Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

The Coherent Loss Function for Classification.

Wenzhuo Yang, Melvyn Sim, Huan Xu

Proceedings of the 31th International Conference on Machine Learning, 2014

Scaling Up Robust MDPs using Function Approximation.

Aviv Tamar, Shie Mannor, Huan Xu

Proceedings of the 31th International Conference on Machine Learning, 2014

Weighted Graph Clustering with Non-Uniform Uncertainties.

Yudong Chen, Shiau Hong Lim, Huan Xu

Proceedings of the 31th International Conference on Machine Learning, 2014

Robust Subspace Segmentation with Block-Diagonal Prior.

Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Outlier-Robust PCA: The High-Dimensional Case.

Huan Xu, Constantine Caramanis, Shie Mannor

IEEE Trans. Inf. Theory, 2013

Scaling Up Robust MDPs by Reinforcement Learning.

Aviv Tamar, Huan Xu, Shie Mannor

CoRR, 2013

Learning Multiple Models via Regularized Weighting.

Daniel Vainsencher, Shie Mannor, Huan Xu

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Online Robust PCA via Stochastic Optimization.

Jiashi Feng, Huan Xu, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Online PCA for Contaminated Data.

Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A Unified Robust Regression Model for Lasso-like Algorithms.

Wenzhuo Yang, Huan Xu

Proceedings of the 30th International Conference on Machine Learning, 2013

Breaking the Small Cluster Barrier of Graph Clustering.

Nir Ailon, Yudong Chen, Huan Xu

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Robust PCA via Outlier Pursuit.

Huan Xu, Constantine Caramanis, Sujay Sanghavi

IEEE Trans. Inf. Theory, 2012

Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem.

Huan Xu, Constantine Caramanis, Shie Mannor

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Distributionally Robust Markov Decision Processes.

Huan Xu, Shie Mannor

Math. Oper. Res., 2012

A Distributional Interpretation of Robust Optimization.

Huan Xu, Constantine Caramanis, Shie Mannor

Math. Oper. Res., 2012

Robustness and generalization.

Huan Xu, Shie Mannor

Mach. Learn., 2012

Statistical Optimization in High Dimensions.

Huan Xu, Constantine Caramanis, Shie Mannor

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation.

Guangcan Liu, Huan Xu, Shuicheng Yan

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Optimization Under Probabilistic Envelope Constraints.

Huan Xu, Constantine Caramanis, Shie Mannor

Oper. Res., 2012

Clustering Sparse Graphs.

Yudong Chen, Sujay Sanghavi, Huan Xu

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty.

Shie Mannor, Ofir Mebel, Huan Xu

Proceedings of the 29th International Conference on Machine Learning, 2012

Robust PCA in High-dimension: A Deterministic Approach.

Jiashi Feng, Huan Xu, Shuicheng Yan

Proceedings of the 29th International Conference on Machine Learning, 2012

Auto-Grouped Sparse Representation for Visual Analysis.

Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Robust Matrix Completion with Corrupted Columns

Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi

CoRR, 2011

Probabilistic Goal Markov Decision Processes.

Huan Xu, Shie Mannor

Proceedings of the IJCAI 2011, 2011

Robust Matrix Completion and Corrupted Columns.

Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Robust regression and Lasso.

Huan Xu, Constantine Caramanis, Shie Mannor

IEEE Trans. Inf. Theory, 2010

Principal Component Analysis with Contaminated Data: The High Dimensional Case.

Huan Xu, Constantine Caramanis, Shie Mannor

Proceedings of the COLT 2010, 2010

2009

A Kalman Filter Design Based on the Performance/Robustness Tradeoff.

Huan Xu, Shie Mannor

IEEE Trans. Autom. Control., 2009

Robustness and Regularization of Support Vector Machines.

Huan Xu, Constantine Caramanis, Shie Mannor

J. Mach. Learn. Res., 2009

High dimensional Principal Component Analysis with contaminated data.

Huan Xu, Constantine Caramanis, Shie Mannor

Proceedings of the 2009 IEEE Information Theory Workshop, 2009

Parametric regret in uncertain Markov decision processes.

Huan Xu, Shie Mannor

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Risk sensitive robust support vector machines.

Huan Xu, Constantine Caramanis, Shie Mannor, Sungho Yun

Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008

Robustness, Risk, and Regularization in Support Vector Machines

Huan Xu, Shie Mannor, Constantine Caramanis

CoRR, 2008

Robust dimensionality reduction for high-dimension data.

Huan Xu, Constantine Caramanis, Shie Mannor

Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2006

The Robustness-Performance Tradeoff in Markov Decision Processes.

Huan Xu, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 19, 2006