Haishan Ye

1. Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems
   2020/01/11 by Luo Luo, Luo, Luo, Haishan Ye +5 · 8 citations
   Computer Science · Engineering · Mathematics · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Markov Chains and Monte Carlo Methods
2. An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
   2022/12/05 by Lesi Chen, Haishan Ye, Chen, Lesi +3 · 4 citations
   Computer Science · Engineering · #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
3. DeEPCA: Decentralized Exact PCA with Linear Convergence Rate
   2021/02/08 by Haishan Ye, Ye, Haishan, Tong Zhang +1 · 3 citations
   Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural dynamics and brain function #Optimization and Control (math.OC)
4. Multi-consensus Decentralized Accelerated Gradient Descent
   2020/05/02 by Haishan Ye, Luo Luo, Ye, Haishan +5 · 3 citations
   Computer Science · Engineering · #Cooperative Communication and Network Coding #Distributed Control Multi-Agent Systems #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
5. Explicit Superlinear Convergence Rates of The SR1 Algorithm
   2021/05/15 by Haishan Ye, Dachao Lin, Ye, Haishan +5 · 1 citation
   Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Iterative Methods for Nonlinear Equations #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques