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Chen, Yudong

  1. Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates
    2018/03/05 by Dong Yin, Yin, Dong, Yudong Chen +5 · 74 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Cryptography and Security (cs.CR) #Distributed #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Parallel #and Cluster Computing (cs.DC)
  2. Statistical-Computational Tradeoffs in Planted Problems and Submatrix Localization with a Growing Number of Clusters and Submatrices
    2014/02/06 by Yudong Chen, Jiaming Xu, Chen, Yudong +1 · 19 citations
    Business, Management and Accounting · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Facility Location and Emergency Management #Machine Learning (stat.ML) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
  3. Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
    2017/05/16 by Yudong Chen, Chen, Yudong, Lili Su +3 · 10 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
  4. Fast low-rank estimation by projected gradient descent: General statistical and algorithmic guarantees
    2015/09/10 by Chen, Yudong, Wainwright, Martin J. · 5 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  5. Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond
    2020/04/23 by Liu, Fanghui, Huang, Xiaolin, Chen, Yudong +1 · 6 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Completing Any Low-rank Matrix, Provably
    2013/06/12 by Yudong Chen, Srinadh Bhojanapalli, Chen, Yudong +5 · 3 citations
    Computer Science · Engineering · #Blind Source Separation Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Microwave Imaging and Scattering Analysis #Sparse and Compressive Sensing Techniques
  7. Risk-Sensitive Reinforcement Learning: Near-Optimal Risk-Sample Tradeoff in Regret
    2020/06/22 by Fei, Yingjie, Yang, Zhuoran, Chen, Yudong +2 · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  8. Fast Algorithms for Robust PCA via Gradient Descent
    2016/05/25 by Yi, Xinyang, Park, Dohyung, Chen, Yudong +1 · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  9. GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation
    2023/11/06 by Xuwei Xu, Sen Wang, Xu, Xuwei +9 · 6 citations
    Computer Science · Neuroscience · #Advanced Neural Network Applications #Brain Tumor Detection and Classification #Domain Adaptation and Few-Shot Learning
  10. LoRA-One: One-Step Full Gradient Could Suffice for Fine-Tuning Large Language Models, Provably and Efficiently
    2025/02/03 by Y. T. Zhang, Zhang, Yuanhe, Fanghui Liu +3 · 8 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Medical Image Segmentation Techniques #Stochastic Gradient Optimization Techniques
  11. Robust High Dimensional Sparse Regression and Matching Pursuit
    2013/01/12 by Yudong Chen, Constantine Caramanis, Chen, Yudong +3 · 2 citations
    Engineering · Mathematics · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
  12. Harnessing Structures in Big Data via Guaranteed Low-Rank Matrix Estimation
    2018/02/23 by Yudong Chen, Chen, Yudong, Yuejie Chi +1 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Face and Expression Recognition #Image and Signal Denoising Methods #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Sparse and Compressive Sensing Techniques #electronic engineering #information engineering
  13. Hidden Integrality and Semi-random Robustness of SDP Relaxation for Sub-Gaussian Mixture Model
    2018/03/17 by Fei, Yingjie, Chen, Yudong · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
  14. Defending Against Saddle Point Attack in Byzantine-Robust Distributed Learning
    2018/06/14 by Yin, Dong, Chen, Yudong, Ramchandran, Kannan +1 · 2 citations
    #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #and Cluster Computing (cs.DC)
  15. Bias and Extrapolation in Markovian Linear Stochastic Approximation with Constant Stepsizes
    2022/10/03 by Dongyan, Yudong Chen, Huo, Dongyan +3 · 3 citations
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks #Optimization and Control (math.OC)
  16. Achieving the Bayes Error Rate in Synchronization and Block Models by SDP, Robustly
    2019/04/21 by Fei, Yingjie, Chen, Yudong · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
  17. Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium
    2020/02/17 by Xie, Qiaomin, Chen, Yudong, Wang, Zhaoran +1 · 2 citations
    #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Optimization and Control (math.OC)
  18. User Association for Load Balancing in Heterogeneous Cellular Networks
    2012/05/13 by Ye, Qiaoyang, Rong, Beiyu, Chen, Yudong +3 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  19. Convexified Modularity Maximization for Degree-corrected Stochastic Block Models
    2015/12/28 by Chen, Yudong, Li, Xiaodong, Xu, Jiaming · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Statistics Theory (math.ST)
  20. Exponential error rates of SDP for block models: Beyond Grothendieck's inequality
    2017/05/23 by Yingjie Fei, Fei, Yingjie, Yudong Chen +1 · 1 citation
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Social and Information Networks (cs.SI) #Statistical Methods and Inference #Statistics Theory (math.ST)
  21. Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization
    2017/08/14 by Lu, Canyi, Feng, Jiashi, Chen, Yudong +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  22. Convex Relaxation Methods for Community Detection
    2018/09/30 by Li, Xiaodong, Chen, Yudong, Xu, Jiaming · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Social and Information Networks (cs.SI) #Statistics Theory (math.ST)
  23. Low-rank matrix recovery with composite optimization: good conditioning\n and rapid convergence
    2019/04/22 by Vasileios Charisopoulos, Yudong Chen, Charisopoulos, Vasileios +9 · 1 citation
    Computer Science · Engineering · Physics and Astronomy · #65K10 #90C06 #Advanced X-ray Imaging Techniques #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optical measurement and interference techniques #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
  24. Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery
    2019/11/13 by Fan, Jicong, Ding, Lijun, Chen, Yudong +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  25. High-dimensional, multiscale online changepoint detection
    2020/03/07 by Chen, Yudong, Wang, Tengyao, Samworth, Richard J. · 1 citation
    #62H99 #62L99 #Computation (stat.CO) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  26. Structures of Spurious Local Minima in k-means
    2020/02/16 by Qian, Wei, Zhang, Yuqian, Chen, Yudong · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Statistics Theory (math.ST)
  27. A Survey on Curriculum Learning
    2020/10/25 by Wang, Xin, Chen, Yudong, Zhu, Wenwu · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Inference in high-dimensional online changepoint detection
    2021/11/02 by Chen, Yudong, Wang, Tengyao, Samworth, Richard J. · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
  29. Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning
    2021/11/06 by Fei, Yingjie, Yang, Zhuoran, Chen, Yudong +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  30. Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure
    2022/06/07 by Tyler Sam, Yudong Chen, Sam, Tyler +3 · 1 citation
    Computer Science · #Reinforcement Learning in Robotics #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  31. Improved Feature Distillation via Projector Ensemble
    2022/10/27 by Yudong Chen, Sen Wang, Chen, Yudong +9 · 1 citation
    Computer Science · Engineering · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning and Data Classification
  32. Stochastic Methods in Variational Inequalities: Ergodicity, Bias and Refinements
    2023/06/28 by Emmanouil-Vasileios Vlatakis-Gkaragkounis, Angeliki Giannou, Vlatakis-Gkaragkounis, Emmanouil-Vasileios +5 · 1 citation
    Computer Science · Engineering · Mathematics · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
  33. Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption
    2023/05/31 by Yige Hong, Hong, Yige, Qiaomin Xie +5 · 1 citation
    Decision Sciences · #Advanced Bandit Algorithms Research
  34. Understanding the Effects of Projectors in Knowledge Distillation
    2023/10/26 by Chen, Yudong, Wang, Sen, Liu, Jiajun +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  35. Unichain and Aperiodicity are Sufficient for Asymptotic Optimality of Average-Reward Restless Bandits
    2024/02/08 by Hong, Yige, Xie, Qiaomin, Chen, Yudong +1 · 1 citation
    #90C40 #FOS: Computer and information sciences #FOS: Mathematics #G.3 #I.6 #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Probability (math.PR)
  36. Detecting Overlapping Temporal Community Structure in Time-Evolving Networks
    2013/03/28 by Yudong Chen, Chen, Yudong, Vikas Kawadia +3 · 1 citation
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Opportunistic and Delay-Tolerant Networks #Opinion Dynamics and Social Influence
  37. RePaViT: Scalable Vision Transformer Acceleration via Structural Reparameterization on Feedforward Network Layers
    2025/05/28 by Xuwei Xu, Xu, Xuwei, Li Yang +6 · 2 citations
    Engineering · #CCD and CMOS Imaging Sensors #Advanced Memory and Neural Computing #Infrared Target Detection Methodologies
  38. Functional Homotopy: Smoothing Discrete Optimization via Continuous Parameters for LLM Jailbreak Attacks
    2024/10/05 by Zi Wang, Wang, Zi, Divyam Anshumaan +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG)
  39. Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration
    2025/05/30 by Zhu, Qinglin, Zhao, Runcong, Yan, Hanqi +3 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  40. Span-Agnostic Optimal Sample Complexity and Oracle Inequalities for Average-Reward RL
    2025/02/16 by Matthew Zurek, Yudong Chen, Zurek, Matthew +1 · 1 citation
    Engineering · Decision Sciences · #Fault Detection and Control Systems #Advanced Statistical Process Monitoring