Yuan, Xiaotong

27 publications

ICML 2025 Optimization over Sparse Support-Preserving Sets: Two-Step Projection with Global Optimality Guarantees William De Vazelhes, Xiaotong Yuan, Bin Gu

NeurIPS 2023 $l_2$-Uniform Stability of Randomized Learning Algorithms: Sharper Generalization Bounds and Confidence Boosting Xiaotong Yuan, Ping Li

ICLR 2023 Exponential Generalization Bounds with Near-Optimal Rates for $L_q$-Stable Algorithms Xiaotong Yuan, Ping Li

NeurIPS 2022 On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-Smoothness and Beyond Xiaotong Yuan, Ping Li

NeurIPS 2022 Zeroth-Order Hard-Thresholding: Gradient Error vs. Expansivity William de Vazelhes, Hualin Zhang, Huimin Wu, Xiaotong Yuan, Bin Gu

AISTATS 2021 Stability and Risk Bounds of Iterative Hard Thresholding Xiaotong Yuan, Ping Li

NeurIPS 2021 A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu Hong Hoi

NeurIPS 2021 Towards Understanding Why Lookahead Generalizes Better than SGD and Beyond Pan Zhou, Hanshu Yan, Xiaotong Yuan, Jiashi Feng, Shuicheng Yan

NeurIPS 2019 Efficient Meta Learning via Minibatch Proximal Update Pan Zhou, Xiaotong Yuan, Huan Xu, Shuicheng Yan, Jiashi Feng

NeurIPS 2018 Efficient Stochastic Gradient Hard Thresholding Pan Zhou, Xiaotong Yuan, Jiashi Feng

NeurIPS 2018 New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity Pan Zhou, Xiaotong Yuan, Jiashi Feng

NeurIPS 2017 A New Theory for Matrix Completion Guangcan Liu, Qingshan Liu, Xiaotong Yuan

NeurIPS 2016 Exact Recovery of Hard Thresholding Pursuit Xiaotong Yuan, Ping Li, Tong Zhang

NeurIPS 2016 Learning Additive Exponential Family Graphical Models via $\ell_{2,1}$-Norm Regularized M-Estimation Xiaotong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu

ICML 2014 Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization Xiaotong Yuan, Ping Li, Tong Zhang

ECCV 2012 Auto-Grouped Sparse Representation for Visual Analysis Jiashi Feng, Xiaotong Yuan, Zilei Wang, Huan Xu, Shuicheng Yan

AISTATS 2012 Forward Basis Selection for Sparse Approximation over Dictionary Xiaotong Yuan, Shuicheng Yan

AISTATS 2011 A Finite Newton Algorithm for Non-Degenerate Piecewise Linear Systems Xiao–Tong Yuan, Shuicheng Yan

CVPR 2011 Accelerated Low-Rank Visual Recovery by Random Projection Yadong Mu, Jian Dong, Xiaotong Yuan, Shuicheng Yan

AAAI 2011 Efficient Subspace Segmentation via Quadratic Programming Shusen Wang, Xiaotong Yuan, Tiansheng Yao, Shuicheng Yan, Jialie Shen

ICCV 2011 Multi-Class Semi-Supervised SVMs with Positiveness Exclusive Regularization Xiaobai Liu, Xiaotong Yuan, Shuicheng Yan, Hai Jin

CVPR 2010 Visual Classification with Multi-Task Joint Sparse Representation Xiaotong Yuan, Shuicheng Yan

CVPR 2010 Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles Bineng Zhong, Hongxun Yao, Sheng Chen, Rongrong Ji, Xiaotong Yuan, Shaohui Liu, Wen Gao

ICML 2009 Robust Feature Extraction via Information Theoretic Learning Xiaotong Yuan, Bao-Gang Hu

CVPR 2009 Stochastic Gradient Kernel Density Mode-Seeking Xiaotong Yuan, Stan Z. Li

ICCV 2007 Half Quadratic Analysis for Mean Shift: With Extension to a Sequential Data Mode-Seeking Method Xiaotong Yuan, Stan Z. Li

CVPR 2007 Real-Time Object Classification in Video Surveillance Based on Appearance Learning Lun Zhang, Stan Z. Li, Xiaotong Yuan, Shiming Xiang