ML Anthology

Xu, Huan

70 publications

ICCV 2025 OuroMamba: A Data-Free Quantization Framework for Vision Mamba Akshat Ramachandran, Mingyu Lee, Huan Xu, Souvik Kundu, Tushar Krishna
AAAI 2021 A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments Yu-Hang Zhou, Peng Hu, Chen Liang, Huan Xu, Guangda Huzhang, Yinfu Feng, Qing Da, Xinshang Wang, Anxiang Zeng
IJCAI 2021 AutoBandit: A Meta Bandit Online Learning System Miao Xie, Wotao Yin, Huan Xu
IJCAI 2021 Time Series Data Augmentation for Deep Learning: A Survey Qingsong Wen, Liang Sun, Fan Yang, Xiaomin Song, Jingkun Gao, Xue Wang, Huan Xu
ICLR 2020 Implicit Bias of Gradient Descent Based Adversarial Training on Separable Data Yan Li, Ethan X.Fang, Huan Xu, Tuo Zhao
ICML 2019 Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games Adrian Rivera Cardoso, Jacob Abernethy, He Wang, Huan Xu
NeurIPS 2019 Efficient Meta Learning via Minibatch Proximal Update Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng
NeurIPS 2019 Large Scale Markov Decision Processes with Changing Rewards Adrian Rivera Cardoso, He Wang, Huan Xu
ICML 2019 Nonlinear Distributional Gradient Temporal-Difference Learning Chao Qu, Shie Mannor, Huan Xu
AISTATS 2019 Risk-Averse Stochastic Convex Bandit Adrian Rivera Cardoso, Huan Xu
AAAI 2019 RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series Qingsong Wen, Jingkun Gao, Xiaomin Song, Liang Sun, Huan Xu, Shenghuo Zhu
NeurIPS 2019 Value Propagation for Decentralized Networked Deep Multi-Agent Reinforcement Learning Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
ICLR 2018 Learning Deep Mean Field Games for Modeling Large Population Behavior Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, Huan Xu, Hongyuan Zha
AISTATS 2018 Nearly Second-Order Optimality of Online Joint Detection and Estimation via One-Sample Update Schemes Yang Cao, Liyan Xie, Yao Xie, Huan Xu
ICML 2018 Non-Convex Conditional Gradient Sliding Chao Qu, Yan Li, Huan Xu
NeurIPS 2018 Robust Hypothesis Testing Using Wasserstein Uncertainty Sets Rui Gao, Liyan Xie, Yao Xie, Huan Xu
JMLR 2017 Clustering from General Pairwise Observations with Applications to Time-Varying Graphs Shiau Hong Lim, Yudong Chen, Huan Xu
ICML 2017 Fake News Mitigation via Point Process Based Intervention Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit Trivedi, Elias Khalil, Shuang Li, Le Song, Hongyuan Zha
COLT 2017 Ignoring Is a Bliss: Learning with Large Noise Through Reweighting-Minimization Daniel Vainsencher, Shie Mannor, Huan Xu
AISTATS 2017 Online Nonnegative Matrix Factorization with General Divergences Renbo Zhao, Vincent Yan Fu Tan, Huan Xu
MLJ 2017 Online Optimization for Max-Norm Regularization Jie Shen, Huan Xu, Ping Li
NeurIPS 2017 Reinforcement Learning Under Model Mismatch Aurko Roy, Huan Xu, Sebastian Pokutta
IJCAI 2017 Representativeness-Aware Aspect Analysis for Brand Monitoring in Social Media Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua
NeurIPS 2016 Adaptive Maximization of Pointwise Submodular Functions with Budget Constraint Nguyen Cuong, Huan Xu
ICML 2016 Fast Rate Analysis of Some Stochastic Optimization Algorithms Chao Qu, Huan Xu, Chong Ong
JMLR 2016 Noisy Sparse Subspace Clustering Yu-Xiang Wang, Huan Xu
CVPR 2016 Online Collaborative Learning for Open-Vocabulary Visual Classifiers Hanwang Zhang, Xindi Shang, Wenzhuo Yang, Huan Xu, Huanbo Luan, Tat-Seng Chua
ICML 2016 Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit Jie Shen, Ping Li, Huan Xu
ICML 2015 A Convex Optimization Framework for Bi-Clustering Shiau Hong Lim, Yudong Chen, Huan Xu
ICML 2015 A Divide and Conquer Framework for Distributed Graph Clustering Wenzhuo Yang, Huan Xu
ICML 2015 A Unified Framework for Outlier-Robust PCA-like Algorithms Wenzhuo Yang, Huan Xu
JMLR 2015 Iterative and Active Graph Clustering Using Trace Norm Minimization Without Cluster Size Constraints Nir Ailon, Yudong Chen, Huan Xu
ICML 2015 Streaming Sparse Principal Component Analysis Wenzhuo Yang, Huan Xu
NeurIPS 2015 Subspace Clustering with Irrelevant Features via Robust Dantzig Selector Chao Qu, Huan Xu
JMLR 2014 Clustering Partially Observed Graphs via Convex Optimization Yudong Chen, Ali Jalali, Sujay Sanghavi, Huan Xu
NeurIPS 2014 Clustering from Labels and Time-Varying Graphs Shiau Hong Lim, Yudong Chen, Huan Xu
NeurIPS 2014 Convex Optimization Procedure for Clustering: Theoretical Revisit Changbo Zhu, Huan Xu, Chenlei Leng, Shuicheng Yan
NeurIPS 2014 Online Optimization for Max-Norm Regularization Jie Shen, Huan Xu, Ping Li
NeurIPS 2014 Robust Logistic Regression and Classification Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan
CVPR 2014 Robust Subspace Segmentation with Block-Diagonal Prior Jiashi Feng, Zhouchen Lin, Huan Xu, Shuicheng Yan
ICML 2014 Scaling up Robust MDPs Using Function Approximation Aviv Tamar, Shie Mannor, Huan Xu
ICML 2014 The Coherent Loss Function for Classification Wenzhuo Yang, Melvyn Sim, Huan Xu
ICML 2014 Weighted Graph Clustering with Non-Uniform Uncertainties Yudong Chen, Shiau Hong Lim, Huan Xu
ICML 2013 A Unified Robust Regression Model for Lasso-like Algorithms Wenzhuo Yang, Huan Xu
ICML 2013 Breaking the Small Cluster Barrier of Graph Clustering Nir Ailon, Yudong Chen, Huan Xu
NeurIPS 2013 Learning Multiple Models via Regularized Weighting Daniel Vainsencher, Shie Mannor, Huan Xu
ICML 2013 Noisy Sparse Subspace Clustering Yu-Xiang Wang, Huan Xu
NeurIPS 2013 Online PCA for Contaminated Data Jiashi Feng, Huan Xu, Shie Mannor, Shuicheng Yan
NeurIPS 2013 Online Robust PCA via Stochastic Optimization Jiashi Feng, Huan Xu, Shuicheng Yan
NeurIPS 2013 Provable Subspace Clustering: When LRR Meets SSC Yu-Xiang Wang, Huan Xu, Chenlei Leng
NeurIPS 2013 Reinforcement Learning in Robust Markov Decision Processes Shiau Hong Lim, Huan Xu, Shie Mannor
ECCV 2012 Auto-Grouped Sparse Representation for Visual Analysis Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan
NeurIPS 2012 Clustering Sparse Graphs Yudong Chen, Sujay Sanghavi, Huan Xu
AISTATS 2012 Exact Subspace Segmentation and Outlier Detection by Low-Rank Representation Guangcan Liu, Huan Xu, Shuicheng Yan
ICML 2012 Lightning Does Not Strike Twice: Robust MDPs with Coupled Uncertainty Shie Mannor, Ofir Mebel, Huan Xu
AISTATS 2012 Robust Multi-Task Regression with Grossly Corrupted Observations Huan Xu, Chenlei Leng
ICML 2012 Robust PCA in High-Dimension: A Deterministic Approach Jiashi Feng, Huan Xu, Shuicheng Yan
MLJ 2012 Robustness and Generalization Huan Xu, Shie Mannor
ICML 2012 Stability of Matrix Factorization for Collaborative Filtering Yu-Xiang Wang, Huan Xu
AISTATS 2012 Statistical Optimization in High Dimensions Huan Xu, Constantine Caramanis, Shie Mannor
ICML 2011 Clustering Partially Observed Graphs via Convex Optimization Ali Jalali, Yudong Chen, Sujay Sanghavi, Huan Xu
IJCAI 2011 Probabilistic Goal Markov Decision Processes Huan Xu, Shie Mannor
ICML 2011 Robust Matrix Completion and Corrupted Columns Yudong Chen, Huan Xu, Constantine Caramanis, Sujay Sanghavi
NeurIPS 2010 Distributionally Robust Markov Decision Processes Huan Xu, Shie Mannor
COLT 2010 Principal Component Analysis with Contaminated Data: The High Dimensional Case Huan Xu, Constantine Caramanis, Shie Mannor
NeurIPS 2010 Robust PCA via Outlier Pursuit Huan Xu, Constantine Caramanis, Sujay Sanghavi
COLT 2010 Robustness and Generalization Huan Xu, Shie Mannor
JMLR 2009 Robustness and Regularization of Support Vector Machines Huan Xu, Constantine Caramanis, Shie Mannor
NeurIPS 2008 Robust Regression and Lasso Huan Xu, Constantine Caramanis, Shie Mannor
NeurIPS 2006 The Robustness-Performance Tradeoff in Markov Decision Processes Huan Xu, Shie Mannor