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Lin, Qihang

  1. Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence
    2018/11/28 by Xu, Yi, Qi, Qi, Lin, Qihang +2 · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  2. Distributed Stochastic Variance Reduced Gradient Methods and A Lower Bound for Communication Complexity
    2015/07/27 by Jason D. Lee, Qihang Lin, Lee, Jason D. +5 · 6 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  3. First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems
    2018/10/24 by Liu, Mingrui, Rafique, Hassan, Lin, Qihang +1 · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  4. RSG: Beating Subgradient Method without Smoothness and Strong Convexity
    2015/12/09 by Tianbao Yang, Qihang Lin, Yang, Tianbao +1 · 3 citations
    Mathematics · Computer Science · #Advanced Optimization Algorithms Research #Stochastic Gradient Optimization Techniques #Optimization and Variational Analysis
  5. Graph-Structured Multi-task Regression and an Efficient Optimization Method for General Fused Lasso
    2010/05/20 by Xi Chen, Chen, Xi, Se Young Kim +7 · 2 citations
    Medicine · #Bone and Joint Diseases #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  6. Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization
    2016/04/12 by Tianbao Yang, Yang, Tianbao, Qihang Lin +3 · 3 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  7. On Degrees of Freedom of Projection Estimators with Applications to Multivariate Nonparametric Regression
    2015/09/07 by Xi Chen, Qihang Lin, Chen, Xi +3 · 2 citations
    Mathematics · #Advanced Statistical Methods and Models #Statistical Methods and Inference #Mathematical Inequalities and Applications
  8. Block-Normalized Gradient Method: An Empirical Study for Training Deep Neural Network
    2017/07/16 by Adams Wei Yu, Yu, Adams Wei, Lei Huang +7 · 4 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Neural Networks and Applications
  9. Stochastic Methods for AUC Optimization subject to AUC-based Fairness Constraints
    2022/12/23 by Yao, Yao, Lin, Qihang, Yang, Tianbao · 3 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  10. Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints
    2019/08/05 by Runchao Ma, Qihang Lin, Ma, Runchao +3 · 2 citations
    Engineering · Mathematics · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Optimization Algorithms Research #Optimization and Variational Analysis
  11. Large-scale Optimization of Partial AUC in a Range of False Positive Rates
    2022/03/03 by Yao Yao, Qihang Lin, Yao, Yao +3 · 2 citations
    Computer Science · Mathematics · #Machine Learning and Algorithms #Statistical Methods and Inference #Domain Adaptation and Few-Shot Learning
  12. A Richer Theory of Convex Constrained Optimization with Reduced Projections and Improved Rates
    2016/08/11 by Yang, Tianbao, Lin, Qihang, Zhang, Lijun · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  13. Optimal Stochastic Strongly Convex Optimization with a Logarithmic Number of Projections
    2013/04/19 by Jianhui Chen, Tianbao Yang, Chen, Jianhui +7 · 1 citation
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques
  14. An Accelerated Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization
    2014/07/04 by Qihang Lin, Zhaosong Lu, Lin, Qihang +3 · 4 citations
    Computer Science · Engineering · Mathematics · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
  15. Stochastic Primal-Dual Algorithms with Faster Convergence than O(1/√(T)) for Problems without Bilinear Structure
    2019/04/23 by Yan, Yan, Xu, Yi, Lin, Qihang +2 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
  16. Accelerate Stochastic Subgradient Method by Leveraging Local Growth Condition
    2016/07/04 by Yi Xu, Qihang Lin, Xu, Yi +3 · 1 citation
    Computer Science · Engineering · Mathematics · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Advanced Optimization Algorithms Research
  17. ProtoX: Explaining a Reinforcement Learning Agent via Prototyping
    2022/11/06 by Ronilo J. Ragodos, Ragodos, Ronilo J., Tong Wang +5 · 1 citation
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  18. Smoothing Proximal Gradient Method for General Structured Sparse Learning
    2012/02/14 by Xi Chen, Chen, Xi, Qihang Lin +7 · 1 citation
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical methods in inverse problems #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  19. Oracle Complexity of Single-Loop Switching Subgradient Methods for Non-Smooth Weakly Convex Functional Constrained Optimization
    2023/01/30 by Huang, Yankun, Lin, Qihang · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
  20. A Data Efficient and Feasible Level Set Method for Stochastic Convex\n Optimization with Expectation Constraints
    2019/08/07 by Qihang Lin, Lin, Qihang, Selvaprabu Nadarajah +5 · 1 citation
    Decision Sciences · Computer Science · Mathematics · #Risk and Portfolio Optimization #Stochastic Gradient Optimization Techniques #Advanced Optimization Algorithms Research
  21. Deterministic and Stochastic Accelerated Gradient Method for Convex Semi-Infinite Optimization
    2023/10/17 by Yao, Yao, Lin, Qihang, Yang, Tianbao · 1 citation
    #FOS: Mathematics #Optimization and Control (math.OC)