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Liang, Yingbin

  1. Bilevel Optimization: Convergence Analysis and Enhanced Design
    2020/10/15 by Ji, Kaiyi, Yang, Junjie, Liang, Yingbin · 23 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  2. Finite-Sample Analysis for SARSA with Linear Function Approximation
    2019/02/06 by Shaofeng Zou, Zou, Shaofeng, Tengyu Xu +3 · 11 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Reinforcement Learning in Robotics
  3. CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee
    2020/11/11 by Xu, Tengyu, Liang, Yingbin, Lan, Guanghui · 10 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. Provably Faster Algorithms for Bilevel Optimization
    2021/06/08 by Yang, Junjie, Ji, Kaiyi, Liang, Yingbin · 10 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  5. In-Context Convergence of Transformers
    2023/10/08 by Huang, Yu, Yuan Cheng, Yingbin Liang +2 · 15 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  6. Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization
    2023/03/06 by Ziyi Chen, Chen, Ziyi, Yi Zhou +5 · 11 citations
    Computer Science · Engineering · #FOS: Mathematics #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  7. Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization
    2019/10/26 by Kaiyi Ji, Ji, Kaiyi, Zhe Wang +5 · 5 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Machine Learning and ELM
  8. On the Convergence Theory for Hessian-Free Bilevel Algorithms
    2021/10/13 by Sow, Daouda, Ji, Kaiyi, Liang, Yingbin · 6 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  9. Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters
    2020/06/16 by Kaiyi Ji, Ji, Kaiyi, Jason D. Lee +5 · 6 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM #Optimization and Control (math.OC)
  10. Non-asymptotic Convergence Analysis of Two Time-scale (Natural) Actor-Critic Algorithms
    2020/05/07 by Tengyu Xu, Xu, Tengyu, Zhe Wang +3 · 7 citations
    Computer Science · Decision Sciences · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  11. Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization
    2017/05/14 by Li, Qunwei, Zhou, Yi, Liang, Yingbin +1 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Theory on Mixture-of-Experts in Continual Learning
    2024/06/24 by Li, Hongbo, Lin, Sen, Duan, Lingjie +2 · 11 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  13. In-Context Learning with Representations: Contextual Generalization of Trained Transformers
    2024/08/19 by Tong Yang, Yang, Tong, Huang, Yu +4 · 11 citations
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Human Pose and Action Recognition #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Optimization and Control (math.OC)
  14. Theory on Forgetting and Generalization of Continual Learning
    2023/02/12 by Sen Lin, Lin, Sen, Peizhong Ju +5 · 5 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  15. Secure Communication over Fading Channels
    2007/01/04 by Yingbin Liang, H. Vincent Poor, Liang, Yingbin +2 · 2 citations
    Engineering · Computer Science · #Wireless Communication Security Techniques #Chaos-based Image/Signal Encryption #Advanced Authentication Protocols Security
  16. Distributed Proximal Gradient Algorithm for Partially Asynchronous\n Computer Clusters
    2017/04/11 by Yi Zhou, Zhou, Yi, Yaoliang Yu +7 · 2 citations
    Computer Science · Engineering · #Complexity and Algorithms in Graphs #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  17. Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization
    2018/02/20 by Zhe Wang, Yi Zhou, Wang, Zhe +5 · 2 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  18. SGD Converges to Global Minimum in Deep Learning via Star-convex Path
    2019/01/02 by Zhou, Yi, Yang, Junjie, Zhang, Huishuai +2 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  19. Two Time-scale Off-Policy TD Learning: Non-asymptotic Analysis over Markovian Samples
    2019/09/26 by Xu, Tengyu, Zou, Shaofeng, Liang, Yingbin · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  20. Reanalysis of Variance Reduced Temporal Difference Learning
    2020/01/07 by Xu, Tengyu, Wang, Zhe, Zhou, Yi +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling
    2020/02/15 by Xiong, Huaqing, Xu, Tengyu, Liang, Yingbin +1 · 2 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  22. Lower Bounds and Accelerated Algorithms for Bilevel Optimization
    2021/02/07 by Kaiyi Ji, Ji, Kaiyi, Yingbin Liang +1 · 4 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  23. Rate Regions for Relay Broadcast Channels
    2006/06/15 by Yingbin Liang, Liang, Yingbin, Gerhard Kramer +1 · 1 citation
    Computer Science · Engineering · #Cooperative Communication and Network Coding #Advanced MIMO Systems Optimization #Advanced Wireless Communication Technologies
  24. Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining
    2025/02/10 by Daouda Sow, Sow, Daouda, Herbert Woisetschläger +9 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Speech Recognition and Synthesis #Text and Document Classification Technologies
  25. Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysis
    2024/10/12 by Hongru Yang, Yang, Hongru, Bhavya Kailkhura +5 · 4 citations
    Computer Science · #Image Processing and 3D Reconstruction #Natural Language Processing Techniques #Speech Recognition and Synthesis
  26. An Information Theoretic Approach to Secret Sharing
    2014/04/25 by Zou, Shaofeng, Liang, Yingbin, Lai, Lifeng +1 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  27. Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
    2021/02/09 by Ziyi Chen, Yi Zhou, Chen, Ziyi +5 · 2 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Optimization and Variational Analysis
  28. Reshaped Wirtinger Flow and Incremental Algorithm for Solving Quadratic System of Equations
    2016/05/25 by Zhang, Huishuai, Zhou, Yi, Liang, Yingbin +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  29. Estimation of KL Divergence: Optimal Minimax Rate
    2016/07/09 by Bu, Yuheng, Zou, Shaofeng, Liang, Yingbin +1 · 1 citation
    #FOS: Computer and information sciences #Information Theory (cs.IT)
  30. A Theoretical Analysis of Self-Supervised Learning for Vision Transformers
    2024/03/04 by Huang, Yu, Wen, Zixin, Chi, Yuejie +1 · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  31. Characterization of Gradient Dominance and Regularity Conditions for Neural Networks
    2017/10/18 by Zhou, Yi, Liang, Yingbin · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  32. Guaranteed Recovery of One-Hidden-Layer Neural Networks via Cross Entropy
    2018/02/18 by Haoyu Fu, Yuejie Chi, Fu, Haoyu +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  33. A Note on Inexact Condition for Cubic Regularized Newton's Method
    2018/08/22 by Wang, Zhe, Zhou, Yi, Liang, Yingbin +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  34. Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization
    2024/02/22 by Xuxi Chen, Chen, Xuxi, Zhendong Wang +13 · 2 citations
    Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  35. Gradient Free Minimax Optimization: Variance Reduction and Faster Convergence
    2020/06/16 by Xu, Tengyu, Wang, Zhe, Liang, Yingbin +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  36. Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms
    2020/11/10 by Tengyu Xu, Yingbin Liang, Xu, Tengyu +1 · 1 citation
    Computer Science · Decision Sciences · Engineering · #Adaptive Dynamic Programming Control #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Traffic control and management
  37. Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality
    2021/02/23 by Tengyu Xu, Zhuoran Yang, Xu, Tengyu +5 · 1 citation
    Computer Science · #Adaptive Dynamic Programming Control #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  38. Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
    2025/06/02 by Yuchen Liang, Liang, Yuchen, Lifeng Lai +6 · 6 citations
    Computer Science · Engineering · #Advanced Mathematical Modeling in Engineering #Advanced Numerical Methods in Computational Mathematics #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Statistics Theory (math.ST) #electronic engineering #information engineering
  39. Faster Algorithm and Sharper Analysis for Constrained Markov Decision Process
    2021/10/20 by Li, Tianjiao, Guan, Ziwei, Zou, Shaofeng +3 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  40. Model-Based Offline Meta-Reinforcement Learning with Regularization
    2022/02/07 by Lin, Sen, Wan, Jialin, Xu, Tengyu +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  41. A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima
    2022/03/01 by Daouda Sow, Sow, Daouda, Kaiyi Ji +5 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  42. Provable Benefit of Multitask Representation Learning in Reinforcement Learning
    2022/06/13 by Cheng, Yuan, Feng, Songtao, Yang, Jing +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  43. Will Bilevel Optimizers Benefit from Loops
    2022/05/27 by Ji, Kaiyi, Liu, Mingrui, Liang, Yingbin +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  44. M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
    2023/02/28 by Junjie Yang, Yang, Junjie, Xuxi Chen +7 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
  45. Provably Efficient Offline Reinforcement Learning with Trajectory-Wise Reward
    2022/06/13 by Tengyu Xu, Yue Wang, Xu, Tengyu +5 · 1 citation
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Autonomous Vehicle Technology and Safety #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  46. Provable Generalization of Overparameterized Meta-learning Trained with SGD
    2022/06/18 by Huang, Yu, Liang, Yingbin, Huang, Longbo · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Statistics Theory (math.ST)
  47. Sparse Mixture-of-Experts for Compositional Generalization: Empirical Evidence and Theoretical Foundations of Optimal Sparsity
    2024/10/17 by Jinze Zhao, Zhao, Jinze, Wang, Peihao +7 · 2 citations
    Computer Science · #Expert finding and Q&A systems
  48. Learning to Generalize Provably in Learning to Optimize
    2023/02/22 by Yang, Junjie, Chen, Tianlong, Zhu, Mingkang +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  49. Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning
    2023/04/09 by Ju, Peizhong, Liang, Yingbin, Shroff, Ness B. · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  50. Near-Optimal Partially Observable Reinforcement Learning with Partial Online State Information
    2023/06/14 by Ming Shi, Yingbin Liang, Shi, Ming +3 · 1 citation
    Computer Science · Engineering · Materials Science · #Advancements in Photolithography Techniques #Artificial Intelligence (cs.AI) #Copper Interconnects and Reliability #FOS: Computer and information sciences #Machine Learning (cs.LG) #VLSI and Analog Circuit Testing
  51. Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes
    2023/06/08 by Peizhong Ju, Ju, Peizhong, Sen Lin +7 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning and ELM
  52. Object Detection for Medical Image Analysis: Insights from the RT-DETR Model
    2025/01/27 by Weijie He, Yuwei Zhang, He, Weijie +9 · 2 citations
    Neuroscience · #Brain Tumor Detection and Classification
  53. Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games
    2023/08/17 by Songtao Feng, Ming Yin, Feng, Songtao +7 · 1 citation
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
  54. How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias
    2025/05/02 by Huang, Ruiquan, Liang, Yingbin, Yang, Jing · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  55. Rethinking PGD Attack: Is Sign Function Necessary?
    2023/12/03 by Junjie Yang, Tianlong Chen, Yang, Junjie +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
  56. Sample Complexity Characterization for Linear Contextual MDPs
    2024/02/05 by Deng, Junze, Cheng, Yuan, Zou, Shaofeng +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  57. Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
    2024/02/21 by Liang, Yuchen, Ju, Peizhong, Liang, Yingbin +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
  58. A comparative study of generative adversarial networks for image recognition algorithms based on deep learning and traditional methods
    2024/08/07 by Yihao Zhong, Zhong, Yihao, Yijing Wei +9 · 1 citation
    Computer Science · Neuroscience · #Anomaly Detection Techniques and Applications #Image and Signal Denoising Methods #Brain Tumor Detection and Classification
  59. Dynamic Fraud Detection: Integrating Reinforcement Learning into Graph Neural Networks
    2024/09/15 by Yuxin Dong, Jianhua Yao, Dong, Yuxin +9 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Social and Information Networks (cs.SI)
  60. Multi-head Transformers Provably Learn Symbolic Multi-step Reasoning via Gradient Descent
    2025/08/11 by Tong Yang, Yang, Tong, Huang, Yu +4 · 4 citations
    Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Child and Animal Learning Development #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
  61. Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
    2024/10/17 by Yuchen Liang, Peizhong Ju, Liang, Yuchen +5 · 2 citations
    Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
  62. Data Sampling Affects the Complexity of Online SGD over Dependent Data
    2022/03/31 by Shaocong Ma, Ziyi Chen, Ma, Shaocong +7 · 1 citation
    Computer Science · Mathematics · #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data #Markov Chains and Monte Carlo Methods
  63. Non-asymptotic Convergence of Training Transformers for Next-token Prediction
    2024/09/25 by Ruiquan Huang, Huang, Ruiquan, Yingbin Liang +3 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Speech Recognition and Synthesis #Topic Modeling
  64. Optimizing YOLOv5s Object Detection through Knowledge Distillation algorithm
    2024/10/16 by Guanming Huang, Huang, Guanming, Aoran Shen +9 · 1 citation
    Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG)