The Robustness-Performance Tradeoff in Markov Decision Processes. - Huan Xu 001; Shie Mannor (NIPS, 2006)

Robust dimensionality reduction for high-dimension data. - Huan Xu 001; Constantine Caramanis; Shie Mannor (Allerton, 2008)

Robustness, Risk, and Regularization in Support Vector Machines - Huan Xu 001; Shie Mannor; Constantine Caramanis (CoRR, 2008)

Risk sensitive robust support vector machines. - Huan Xu 001; Constantine Caramanis; Shie Mannor; Sungho Yun (CDC, 2009)

Parametric regret in uncertain Markov decision processes. - Huan Xu 001; Shie Mannor (CDC, 2009)

High dimensional Principal Component Analysis with contaminated data. - Huan Xu 001; Constantine Caramanis; Shie Mannor (ITW, 2009)

Robustness and Regularization of Support Vector Machines. - Huan Xu 001; Constantine Caramanis; Shie Mannor (J. Mach. Learn. Res., 2009)

A Kalman Filter Design Based on the Performance/Robustness Tradeoff. - Huan Xu 001; Shie Mannor (IEEE Trans. Autom. Control., 2009)

Principal Component Analysis with Contaminated Data: The High Dimensional Case. - Huan Xu 001; Constantine Caramanis; Shie Mannor (COLT, 2010)

Robust regression and Lasso. - Huan Xu 001; Constantine Caramanis; Shie Mannor (IEEE Trans. Inf. Theory, 2010)

Robust Matrix Completion and Corrupted Columns. - Yudong Chen 001; Huan Xu 001; Constantine Caramanis; Sujay Sanghavi (ICML, 2011)

Probabilistic Goal Markov Decision Processes. - Huan Xu 001; Shie Mannor (IJCAI, 2011)

Robust Matrix Completion with Corrupted Columns - Yudong Chen 001; Huan Xu 001; Constantine Caramanis; Sujay Sanghavi (CoRR, 2011)

Auto-Grouped Sparse Representation for Visual Analysis. - Jiashi Feng; Xiaotong Yuan; Zilei Wang; Huan Xu 001; Shuicheng Yan (ECCV (1), 2012)

Robust PCA in High-dimension: A Deterministic Approach. - Jiashi Feng; Huan Xu 001; Shuicheng Yan (ICML, 2012)

Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty. - Shie Mannor; Ofir Mebel; Huan Xu 001 (ICML, 2012)

Clustering Sparse Graphs. - Yudong Chen 001; Sujay Sanghavi; Huan Xu 001 (NIPS, 2012)

Optimization Under Probabilistic Envelope Constraints. - Huan Xu 001; Constantine Caramanis; Shie Mannor (Oper. Res., 2012)

Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation. - Guangcan Liu; Huan Xu 001; Shuicheng Yan (AISTATS, 2012)

Statistical Optimization in High Dimensions. - Huan Xu 001; Constantine Caramanis; Shie Mannor (AISTATS, 2012)

Robustness and generalization. - Huan Xu 001; Shie Mannor (Mach. Learn., 2012)

A Distributional Interpretation of Robust Optimization. - Huan Xu 001; Constantine Caramanis; Shie Mannor (Math. Oper. Res., 2012)

Distributionally Robust Markov Decision Processes. - Huan Xu 001; Shie Mannor (Math. Oper. Res., 2012)

Sparse Algorithms Are Not Stable: A No-Free-Lunch Theorem. - Huan Xu 001; Constantine Caramanis; Shie Mannor (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Robust PCA via Outlier Pursuit. - Huan Xu 001; Constantine Caramanis; Sujay Sanghavi (IEEE Trans. Inf. Theory, 2012)

Breaking the Small Cluster Barrier of Graph Clustering. - Nir Ailon; Yudong Chen 001; Huan Xu 001 (ICML (3), 2013)

A Unified Robust Regression Model for Lasso-like Algorithms. - Wenzhuo Yang; Huan Xu 001 (ICML (3), 2013)

Online PCA for Contaminated Data. - Jiashi Feng; Huan Xu 001; Shie Mannor; Shuicheng Yan (NIPS, 2013)

Online Robust PCA via Stochastic Optimization. - Jiashi Feng; Huan Xu 001; Shuicheng Yan (NIPS, 2013)

Learning Multiple Models via Regularized Weighting. - Daniel Vainsencher; Shie Mannor; Huan Xu 001 (NIPS, 2013)

Scaling Up Robust MDPs by Reinforcement Learning. - Aviv Tamar; Huan Xu 001; Shie Mannor (CoRR, 2013)

Outlier-Robust PCA: The High-Dimensional Case. - Huan Xu 001; Constantine Caramanis; Shie Mannor (IEEE Trans. Inf. Theory, 2013)

Robust Subspace Segmentation with Block-Diagonal Prior. - Jiashi Feng; Zhouchen Lin; Huan Xu 001; Shuicheng Yan (CVPR, 2014)

Weighted Graph Clustering with Non-Uniform Uncertainties. - Yudong Chen 001; Shiau Hong Lim; Huan Xu 001 (ICML, 2014)

Scaling Up Robust MDPs using Function Approximation. - Aviv Tamar; Shie Mannor; Huan Xu 001 (ICML, 2014)

The Coherent Loss Function for Classification. - Wenzhuo Yang; Melvyn Sim; Huan Xu 001 (ICML, 2014)

Robust Logistic Regression and Classification. - Jiashi Feng; Huan Xu 001; Shie Mannor; Shuicheng Yan (NIPS, 2014)

Clustering from Labels and Time-Varying Graphs. - Shiau Hong Lim; Yudong Chen 001; Huan Xu 001 (NIPS, 2014)

Convex Optimization Procedure for Clustering: Theoretical Revisit. - Changbo Zhu; Huan Xu 001; Chenlei Leng; Shuicheng Yan (NIPS, 2014)

Distributed Robust Learning. - Jiashi Feng; Huan Xu 001; Shie Mannor (CoRR, 2014)

Clustering partially observed graphs via convex optimization. - Yudong Chen 001; Ali Jalali; Sujay Sanghavi; Huan Xu 001 (J. Mach. Learn. Res., 2014)

Autogrouped Sparse Representation for Visual Analysis. - Jiashi Feng; Xiao-Tong Yuan; Zilei Wang; Huan Xu 001; Shuicheng Yan (IEEE Trans. Image Process., 2014)

Improved Graph Clustering. - Yudong Chen 001; Sujay Sanghavi; Huan Xu 001 (IEEE Trans. Inf. Theory, 2014)

A Convex Optimization Framework for Bi-Clustering. - Shiau Hong Lim; Yudong Chen 001; Huan Xu 001 (ICML, 2015)

A Unified Framework for Outlier-Robust PCA-like Algorithms. - Wenzhuo Yang; Huan Xu 001 (ICML, 2015)

Streaming Sparse Principal Component Analysis. - Wenzhuo Yang; Huan Xu 001 (ICML, 2015)

A Divide and Conquer Framework for Distributed Graph Clustering. - Wenzhuo Yang; Huan Xu 001 (ICML, 2015)

Subspace Clustering with Irrelevant Features via Robust Dantzig Selector. - Chao Qu; Huan Xu 001 (NIPS, 2015)

Iterative and active graph clustering using trace norm minimization without cluster size constraints. - Nir Ailon; Yudong Chen 001; Huan Xu 001 (J. Mach. Learn. Res., 2015)

Online Collaborative Learning for Open-Vocabulary Visual Classifiers. - Hanwang Zhang; Xindi Shang; Wenzhuo Yang; Huan Xu 001; Huan-Bo Luan; Tat-Seng Chua (CVPR, 2016)

Fast Rate Analysis of Some Stochastic Optimization Algorithms. - Chao Qu; Huan Xu 001; Chong Jin Ong (ICML, 2016)

Maximize Pointwise Cost-sensitively Submodular Functions With Budget Constraint. - Nguyen Viet Cuong; Huan Xu 001 (CoRR, 2016)

Ensemble Robustness of Deep Learning Algorithms. - Jiashi Feng; Tom Zahavy; Bingyi Kang; Huan Xu 001; Shie Mannor (CoRR, 2016)

Linear Convergence of SVRG in Statistical Estimation. - Chao Qu; Huan Xu 001 (CoRR, 2016)

Reinforcement Learning in Robust Markov Decision Processes. - Shiau Hong Lim; Huan Xu 001; Shie Mannor (Math. Oper. Res., 2016)

Robust MDPs with k-Rectangular Uncertainty. - Shie Mannor; Ofir Mebel; Huan Xu 001 (Math. Oper. Res., 2016)

Distributionally robust chance constraints for non-linear uncertainties. - Wenzhuo Yang; Huan Xu 001 (Math. Program., 2016)

A Deterministic Analysis for LRR. - Guangcan Liu; Huan Xu 001; Jinhui Tang 001; Qingshan Liu 001; Shuicheng Yan (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Matrix Completion With Column Manipulation: Near-Optimal Sample-Robustness-Rank Tradeoffs. - Yudong Chen 001; Huan Xu 001; Constantine Caramanis; Sujay Sanghavi (IEEE Trans. Inf. Theory, 2016)

Dynamic programming for risk-aware sequential optimization. - Pengqian Yu; William B. Haskell 001; Huan Xu 001 (CDC, 2017)

Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization. - Daniel Vainsencher; Shie Mannor; Huan Xu 001 (COLT, 2017)

Outlier Robust Online Learning. - Jiashi Feng; Huan Xu 001; Shie Mannor (CoRR, 2017)

Linear convergence of SDCA in statistical estimation. - Chao Qu; Huan Xu 001 (CoRR, 2017)

Clustering from General Pairwise Observations with Applications to Time-varying Graphs. - Shiau Hong Lim; Yudong Chen 001; Huan Xu 001 (J. Mach. Learn. Res., 2017)

Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms. - Tom Zahavy; Bingyi Kang; Alex Sivak; Jiashi Feng; Huan Xu 001; Shie Mannor (ICLR (Workshop), 2018)

Non-convex Conditional Gradient Sliding. - Chao Qu; Yan Li; Huan Xu 001 (ICML, 2018)

Fast Global Convergence via Landscape of Empirical Loss. - Chao Qu; Yan Li; Huan Xu 001 (CoRR, 2018)

Communication-Efficient Projection-Free Algorithm for Distributed Optimization. - Yan Li; Chao Qu; Huan Xu 001 (CoRR, 2018)

Projection-Free Algorithms in Statistical Estimation. - Yan Li; Chao Qu; Huan Xu 001 (CoRR, 2018)

Approximate Value Iteration for Risk-Aware Markov Decision Processes. - Pengqian Yu; William B. Haskell 001; Huan Xu 001 (IEEE Trans. Autom. Control., 2018)

RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series. - Qingsong Wen; Jingkun Gao; Xiaomin Song; Liang Sun 001; Huan Xu 001; Shenghuo Zhu (AAAI, 2019)

Nonlinear Distributional Gradient Temporal-Difference Learning. - Chao Qu; Shie Mannor; Huan Xu 001 (ICML, 2019)

Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. - Chao Qu; Shie Mannor; Huan Xu 001; Yuan Qi 001; Le Song; Junwu Xiong (NeurIPS, 2019)

Efficient Meta Learning via Minibatch Proximal Update. - Pan Zhou 002; Xiaotong Yuan; Huan Xu 001; Shuicheng Yan; Jiashi Feng (NeurIPS, 2019)

Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets. - Zhi Chen 016; Melvyn Sim; Huan Xu 001 (Oper. Res., 2019)

Accelerated Randomized Mirror Descent Algorithms for Composite Non-strongly Convex Optimization. - Le Thi Khanh Hien; Cuong V. Nguyen; Huan Xu 001; Canyi Lu; Jiashi Feng (J. Optim. Theory Appl., 2019)

RobustPeriod: Time-Frequency Mining for Robust Multiple Periodicities Detection. - Qingsong Wen; Kai He; Liang Sun 001; Yingying Zhang; Min Ke; Huan Xu 001 (CoRR, 2020)

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks. - Jingkun Gao; Xiaomin Song; Qingsong Wen; Pichao Wang; Liang Sun 001; Huan Xu 001 (CoRR, 2020)

Time Series Data Augmentation for Deep Learning: A Survey. - Qingsong Wen; Liang Sun 001; Xiaomin Song; Jingkun Gao; Xue Wang 010; Huan Xu 001 (CoRR, 2020)

Effective Training Strategies for Deep Graph Neural Networks. - Kuangqi Zhou; Yanfei Dong; Wee Sun Lee; Bryan Hooi; Huan Xu 001; Jiashi Feng (CoRR, 2020)

Mitigating Interdiction Risk with Fortification. - Le Thi Khanh Hien; Melvyn Sim; Huan Xu 001 (Oper. Res., 2020)

Goal scoring, coherent loss and applications to machine learning. - Wenzhuo Yang; Melvyn Sim; Huan Xu 001 (Math. Program., 2020)

Understanding and Resolving Performance Degradation in Deep Graph Convolutional Networks. - Kuangqi Zhou; Yanfei Dong; Kaixin Wang; Wee Sun Lee; Bryan Hooi; Huan Xu 001; Jiashi Feng (CIKM, 2021)

Time Series Data Augmentation for Deep Learning: A Survey. - Qingsong Wen; Liang Sun 001; Fan Yang 094; Xiaomin Song; Jingkun Gao; Xue Wang 010; Huan Xu 001 (IJCAI, 2021)

RobustPeriod: Robust Time-Frequency Mining for Multiple Periodicity Detection. - Qingsong Wen; Kai He; Liang Sun 001; Yingying Zhang; Min Ke; Huan Xu 001 (SIGMOD Conference, 2021)

Bayesian active learning with abstention feedbacks. - Cuong V. Nguyen; Lam Si Tung Ho; Huan Xu 001; Vu C. Dinh; Binh T. Nguyen 001 (Neurocomputing, 2022)

The Online Saddle Point Problem and Online Convex Optimization with Knapsacks. - Adrian Rivera Cardoso; He Wang 009; Huan Xu 001 (Math. Oper. Res., 2025)