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数学与系统科学研究... [18]
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OAI收割 [18]
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期刊论文 [18]
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2021 [5]
2020 [1]
2019 [1]
2018 [1]
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专题:数学与系统科学研究院
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Learning with smooth Hinge losses
期刊论文
OAI收割
NEUROCOMPUTING, 2021, 卷号: 463, 页码: 379-387
作者:
Luo, JunRu
;
Qiao, Hong
;
Zhang, Bo
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/04/02
Smooth Hinge loss
Convex surrogate loss
Support vector machine
Trust region Newton method
A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes
期刊论文
OAI收割
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4627-4638
作者:
Yu, Tengteng
;
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Sun, Jie
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/04/02
Convergence
Convex functions
Risk management
Gradient methods
Learning systems
Sun
Barzilai-Borwein (BB) method
empirical risk minimization (ERM)
proximal method
stochastic gradient
trust-region
Adaptive Tracking Control of FIR Systems Under Binary-Valued Observations and Recursive Projection Identification
期刊论文
OAI收割
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 9, 页码: 5289-5299
作者:
Wang, Ting
;
Hu, Min
;
Zhao, Yanlong
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2021/10/26
Adaptive tracking control
binary-valued observations
convergence
convergence rate
finite impulse response (FIR) systems
identification
Stochastic Variance Reduced Gradient Methods Using a Trust-Region-Like Scheme
期刊论文
OAI收割
JOURNAL OF SCIENTIFIC COMPUTING, 2021, 卷号: 87, 期号: 1, 页码: 24
作者:
Yu, Tengteng
;
Liu, Xin-Wei
;
Dai, Yu-Hong
;
Sun, Jie
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/04/26
Stochastic variance reduced gradient
Trust region
Barzilai-Borwein stepsizes
Mini-batches
Empirical risk minimization
90C06
90C30
90C90
90C25
L-1-CONVERGENCE TO GENERALIZED BARENBLATT SOLUTION FOR COMPRESSIBLE EULER EQUATIONS WITH TIME-DEPENDENT DAMPING
期刊论文
OAI收割
SIAM JOURNAL ON MATHEMATICAL ANALYSIS, 2021, 卷号: 53, 期号: 5, 页码: 6048-6072
作者:
Geng, Shifeng
;
Huang, Feimin
;
Wu, Xiaochun
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/04/02
convergence rates
compressible Euler equations
generalized Barenblatt solution
time-dependent damping
compensated compactness
Consensus of Multi-Agent Systems Under Binary-Valued Measurements and Recursive Projection Algorithm
期刊论文
OAI收割
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 卷号: 65, 期号: 6, 页码: 2678-2685
作者:
Wang, Ting
;
Zhang, Hang
;
Zhao, Yanlong
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2020/09/23
Convergence
Consensus algorithm
Projection algorithms
Noise measurement
Estimation
Multi-agent systems
Approximation algorithms
Binary-valued communications
convergence
convergence rate
consensus control
estimate
multi-agent systems
recursive projection algorithm
Consensus Control With a Constant Gain for Discrete-time Binary-valued Multi-agent Systems Based on a Projected Empirical Measure Method
期刊论文
OAI收割
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2019, 卷号: 6, 期号: 4, 页码: 1052-1059
作者:
Wang Ting
;
Hu Min
;
Zhao Yanlong
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/01/14
COORDINATION
FLOCKING
AGENTS
LEADER
Binary-valued observations
consensus control
constant gain
convergence rate
multi-agent systems
projected empirical measure method
ON GREEDY RANDOMIZED KACZMARZ METHOD FOR SOLVING LARGE SPARSE LINEAR SYSTEMS
期刊论文
OAI收割
SIAM JOURNAL ON SCIENTIFIC COMPUTING, 2018, 卷号: 40, 期号: 1, 页码: A592-A606
作者:
Bai, Zhong-Zhi
;
Wu, Wen-Ting
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2018/07/30
system of linear equations
Kaczmarz method
randomized iteration
convergence property
Orthogonalizing EM: A Design-Based Least Squares Algorithm
期刊论文
OAI收割
TECHNOMETRICS, 2016, 卷号: 58, 期号: 3, 页码: 285-293
作者:
Xiong, Shifeng
;
Dai, Bin
;
Huling, Jared
;
Qian, Peter Z. G.
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2018/07/30
Computational statistics
Design of experiments
Missing data
Orthogonal design
SCAD
The Lasso
AN EFFICIENT GAUSS-NEWTON ALGORITHM FOR SYMMETRIC LOW-RANK PRODUCT MATRIX APPROXIMATIONS
期刊论文
OAI收割
SIAM JOURNAL ON OPTIMIZATION, 2015, 卷号: 25, 期号: 3, 页码: 1571-1608
作者:
Liu, Xin
;
Wen, Zaiwen
;
Zhang, Yin
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2018/07/30
eigenvalue decomposition
singular value decomposition
low-rank product matrix approximation
Gauss-Newton methods