Huan Xu

Shie Mannor, Constantine Caramanis, Huan Xu, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Robustness, Risk, and Regularization in Support Vector Machines pdf

Shie Mannor, Constantine Caramanis, Huan Xu, 2008, ArXiv.

Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit

Ping Li, Huan Xu, Jie Shen, 2015, ICML.

Clustering from Labels and Time-Varying Graphs

Yudong Chen, Huan Xu, Shiau Hong Lim, 2014, NIPS.

Robust Subspace Segmentation with Block-Diagonal Prior

Shuicheng Yan, Jiashi Feng, Huan Xu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Weighted Graph Clustering with Non-Uniform Uncertainties

Yudong Chen, Huan Xu, Shiau Hong Lim, 2014, ICML.

Online Robust PCA via Stochastic Optimization

Shuicheng Yan, Jiashi Feng, Huan Xu, 2013, NIPS.

Breaking the Small Cluster Barrier of Graph Clustering

Nir Ailon, Yudong Chen, Huan Xu, 2013, ICML.

Clustering Sparse Graphs

Sujay Sanghavi, Yudong Chen, Huan Xu, 2012, NIPS.

Robust Matrix Completion and Corrupted Columns

Constantine Caramanis, Sujay Sanghavi, Yudong Chen, 2011, ICML.

Clustering Partially Observed Graphs via Convex Optimization pdf

Yudong Chen, Huan Xu, Ali Jalali, 2011, ICML.

Robust Matrix Completion with Corrupted Columns pdf

Constantine Caramanis, Sujay Sanghavi, Yudong Chen, 2011, ArXiv.

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

Yudong Chen, Huan Xu, Shiau Hong Lim, 2017, J. Mach. Learn. Res..

Robust MDPs with k-Rectangular Uncertainty

Shie Mannor, Huan Xu, Ofir Mebel, 2016, Math. Oper. Res..

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

Shie Mannor, Huan Xu, Ofir Mebel, 2012, ICML.

Searching oligo sets of human chromosome 12 using evolutionary strategies

Huan Xu, H. Ng, Zhao Yang Dong, 2004, The 2003 Congress on Evolutionary Computation, 2003. CEC '03..

Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms

Shie Mannor, Jiashi Feng, Bingyi Kang, 2016, ICLR.

Ensemble Robustness of Deep Learning Algorithms pdf

Shie Mannor, Jiashi Feng, Bingyi Kang, 2016, ArXiv.

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

Nir Ailon, Yudong Chen, Huan Xu, 2015, J. Mach. Learn. Res..

Outlier-Robust PCA: The High-Dimensional Case

Shie Mannor, Constantine Caramanis, Huan Xu, 2013, IEEE Transactions on Information Theory.

Stability of matrix factorization for collaborative filtering pdf

Yu-Xiang Wang, Huan Xu, Yu-Xiang Wang, 2012, ICML.

Fake News Mitigation via Point Process Based Intervention pdf

Le Song, Shuang Li, Hongyuan Zha, 2017, ICML.

Goal scoring, coherent loss and applications to machine learning

Huan Xu, Melvyn Sim, Wenzhuo Yang, 2019, Mathematical Programming.

The Coherent Loss Function for Classification

Melvyn Sim, Huan Xu, Wenzhuo Yang, 2014, ICML.

Central-limit approach to risk-aware Markov decision processes pdf

Jia Yuan Yu, Huan Xu, Pengqian Yu, 2015, ArXiv.

Implicit Bias of Gradient Descent based Adversarial Training on Separable Data

Tuo Zhao, Yan Li, Huan Xu, 2020, ICLR.

Inductive Bias of Gradient Descent based Adversarial Training on Separable Data pdf

Yan Li, Tuo Zhao, Huan Xu, 2019, ArXiv.

Distributionally Robust Markov Decision Processes

Shie Mannor, Huan Xu, Shie Mannor, 2010, Math. Oper. Res..

Parametric regret in uncertain Markov decision processes

Shie Mannor, Huan Xu, Shie Mannor, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Linear convergence of SDCA in statistical estimation pdf

Huan Xu, Chao Qu, Huan Xu, 2016, ArXiv.

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

Shie Mannor, Constantine Caramanis, Huan Xu, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Communication-Efficient Projection-Free Algorithm for Distributed Optimization pdf

Yan Li, Huan Xu, Chao Qu, 2018, ArXiv.

Efficient Meta Learning via Minibatch Proximal Update

Shuicheng Yan, Pan Zhou, Jiashi Feng, 2019, NeurIPS.

Learning Deep Mean Field Games for Modeling Large Population Behavior

Hongyuan Zha, Xiaojing Ye, Huan Xu, 2017, ICLR.

Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations pdf

Hongyuan Zha, Xiaojing Ye, Jiachen Yang, 2017, ICLR 2018.

Reinforcement Learning under Model Mismatch

Aurko Roy, Sebastian Pokutta, Huan Xu, 2017, NIPS.

Near-optimality of sequential joint detection and estimation via online mirror descent pdf

Huan Xu, Yang Cao, Yao Xie, 2017, ArXiv.

A Convex Optimization Framework for Bi-Clustering

Yudong Chen, Huan Xu, Shiau Hong Lim, 2015, ICML.

Robust Hypothesis Testing Using Wasserstein Uncertainty Sets

Huan Xu, Rui Gao, Liyan Xie, 2018, NeurIPS.

Distributionally robust chance constraints for non-linear uncertainties

Huan Xu, Wenzhuo Yang, Huan Xu, 2014, Mathematical Programming.

A Deterministic Analysis for LRR

Qingshan Liu, Shuicheng Yan, Jinhui Tang, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Robust PCA in High-dimension: A Deterministic Approach pdf

Shuicheng Yan, Jiashi Feng, Huan Xu, 2012, ICML.

AutoBandit: A Meta Bandit Online Learning System

Wotao Yin, Huan Xu, Miao Xie, 2021, IJCAI.

Robustness and Tractability for Non-convex M-estimators

Huan Xu, Y. Mei, Jianjun Shi, 2019, 1906.02272.

Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games

He Wang, Huan Xu, Jacob D. Abernethy, 2019, ICML.

Approximate Value Iteration for Risk-Aware Markov Decision Processes

Huan Xu, Pengqian Yu, William B. Haskell, 2017, IEEE Transactions on Automatic Control.

Non-convex Conditional Gradient Sliding

Yan Li, Huan Xu, Chao Qu, 2017, ICML.

Distributionally Robust Counterpart in Markov Decision Processes

Huan Xu, Pengqian Yu, Huan Xu, 2015, IEEE Transactions on Automatic Control.

Streaming Sparse Principal Component Analysis

Huan Xu, Wenzhuo Yang, Huan Xu, 2015, ICML.

Robust Hypothesis Testing Using Wasserstein Uncertainty Sets

Huan Xu, Rui Gao, Yao Xie, 2018, NeurIPS.

The Online Saddle Point Problem and Online Convex Optimization with Knapsacks

Huan Xu, He Wang, A. Rivera, 2018, 1806.08301.

Online optimization for max-norm regularization

Ping Li, Huan Xu, Jie Shen, 2014, Machine Learning.

Large Scale Markov Decision Processes with Changing Rewards

Huan Xu, He Wang, Adrian Rivera Cardoso, 2019, NeurIPS.

The Online Saddle Point Problem: Applications to Online Convex Optimization with Knapsacks

Huan Xu, He Wang, A. Rivera, 2018 .

Can We Learn to Gamble Efficiently?

Dominik D. Freydenberger, R. Munos, Shie Mannor, 2010, COLT.

Outlier Robust Online Learning pdf

Shie Mannor, Jiashi Feng, Huan Xu, 2017, ArXiv.

Online Nonnegative Matrix Factorization with General Divergences

Vincent Yan Fu Tan, Huan Xu, Renbo Zhao, 2016, AISTATS.

Online Gradient Descent in Function Space pdf

Huan Xu, Changbo Zhu, Huan Xu, 2015, ArXiv.

Statistical Optimization in High Dimensions

Shie Mannor, Constantine Caramanis, Huan Xu, 2012, Oper. Res..

Online Collaborative Learning for Open-Vocabulary Visual Classifiers

Tat-Seng Chua, Hanwang Zhang, Huan Xu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Sequential Change-Point Detection via Online Convex Optimization

Huan Xu, Yang Cao, Liyan Xie, 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

The Robustness-Performance Tradeoff in Markov Decision Processes

Shie Mannor, Huan Xu, Shie Mannor, 2006, NIPS.

Scaling Up Robust MDPs using Function Approximation

Shie Mannor, Huan Xu, Aviv Tamar, 2014, ICML.

Nonlinear Distributional Gradient Temporal-Difference Learning

Shie Mannor, Huan Xu, Chao Qu, 2018, ICML.

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

Shie Mannor, Daniel Vainsencher, Huan Xu, 2017, COLT.

Social Trust Prediction via Max-norm Constrained 1-bit Matrix Completion pdf

Jing Wang, Huan Xu, Jie Shen, 2015, ArXiv.

Efficient Online Minimization for Low-Rank Subspace Clustering

Huan Xu, P. Li, Jie Shen, 2015, 1503.08356.

Bayesian Active Learning With Abstention Feedbacks pdf

Binh Nguyen, Binh T. Nguyen, Vu C. Dinh, 2019, Neurocomputing.

A Kalman Filter Design Based on the Performance/Robustness Tradeoff

Shie Mannor, Huan Xu, Shie Mannor, 2008, IEEE Transactions on Automatic Control.

Linear Convergence of SVRG in Statistical Estimation pdf

Huan Xu, Chao Qu, Huan Xu, 2016, ArXiv.

Robustness and generalization

Shie Mannor, Huan Xu, 2010, Machine Learning.

Nearly second-order asymptotic optimality of sequential change-point detection with one-sample updates

Huan Xu, Yao Xie, Liyan Xie, 2017 .

On Near Optimality of One-sample Update for Joint Detection and Estimation

Yang Cao, Liyan Xie, Yao Xie, 2017, 1705.06995.

Dynamic programming for risk-aware sequential optimization

Huan Xu, Pengqian Yu, William B. Haskell, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Robustness and Regularization of Support Vector Machines

Shie Mannor, C. Caramanis, Huan Xu, 2008, J. Mach. Learn. Res..

A data-driven prognostics framework for tool remaining useful life estimation in tool condition monitoring

Haizhou Li, Kay Chen Tan, Geok Soon Hong, 2017, 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).

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

Shie Mannor, C. Caramanis, Huan Xu, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Autogrouped Sparse Representation for Visual Analysis

Shuicheng Yan, Jiashi Feng, Xiao-Tong Yuan, 2014, IEEE Transactions on Image Processing.

The Online Saddle Point Problem and Online Convex Optimization with Knapsacks

Huan Xu, He Wang, Adrian Rivera Cardoso, 2018, Mathematics of Operations Research.

Online PCA for Contaminated Data

Shie Mannor, Shuicheng Yan, Jiashi Feng, 2013, NIPS.