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A Minibatch Proximal Stochastic Recursive Gradient Algorithm Using a Trust-Region-Like Scheme and Barzilai-Borwein Stepsizes
期刊论文
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
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  |  
浏览/下载:2/0
  |  
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
Dual-density-based reweighted l(1)-algorithms for a class of l(0)-minimization problems
期刊论文
JOURNAL OF GLOBAL OPTIMIZATION, 2021, 页码: 24
作者:
Xu, Jialiang
;
Zhao, Yun-Bin
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  |  
浏览/下载:49/0
  |  
提交时间:2021/06/01
Merit functions for sparsity
l(0)-minimization
Dual-density-based algorithm
Strict complementarity
Bilevel optimization
Convex relaxation
Linearized symmetric multi-block ADMM with indefinite proximal regularization and optimal proximal parameter
期刊论文
CALCOLO, 2020, 卷号: 57, 期号: 4
作者:
Chang, Xiaokai
;
Bai, Jianchao
;
Song, Dunjiang
;
Liu, Sanyang
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  |  
浏览/下载:9/0
  |  
提交时间:2022/03/01
Alternating direction method of multipliers
Convex programming
Prediction–
correction
Linearized technique
Indefinite proximal term
Global convergence
Complexity
AN ALTERNATING MINIMIZATION METHOD FOR MATRIX COMPLETION PROBLEMS
期刊论文
DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS-SERIES S, 2020, 卷号: 13, 期号: 6, 页码: 1757-1772
作者:
Shen, Yuan
;
Liu, Xin
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  |  
浏览/下载:27/0
  |  
提交时间:2020/05/24
Matrix completion
symmetric low rank product minimization
singular value decomposition
alternating minimization
Primal Averaging: A New Gradient Evaluation Step to Attain the Optimal Individual Convergence
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 2, 页码: 835-845
作者:
Tao, Wei
;
Pan, Zhisong
;
Wu, Gaowei
;
Tao, Qing
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  |  
浏览/下载:14/0
  |  
提交时间:2020/03/30
Convergence
Convex functions
Machine learning
Optimization methods
Linear programming
Cybernetics
Individual convergence
machine learning
mirror descent (MD) methods
regularized learning problems
stochastic gradient descent (SGD)
stochastic optimization
ADAPTIVE LOW-NONNEGATIVE-RANK APPROXIMATION FOR STATE AGGREGATION OF MARKOV CHAINS
期刊论文
SIAM JOURNAL ON MATRIX ANALYSIS AND APPLICATIONS, 2020, 卷号: 41, 期号: 1, 页码: 244-278
作者:
Duan, Yaqi
;
Wang, Mengdi
;
Wen, Zaiwen
;
Yuan, Yaxiang
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  |  
浏览/下载:10/0
  |  
提交时间:2020/09/23
Markov chain
state aggregation
nonnegative matrix factorization
atomic norm
proximal alternating linearized minimization
Cyclic Weighted Median Method for L1 Low-Rank with Nonlocal for Single color image denoising
会议论文
Xi'an, China, October 10-13, 2020
作者:
Luo Q(罗琼)
;
Liu JX(刘佳鑫)
;
Han Z(韩志)
;
Li, Yong
;
Tang YD(唐延东)
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  |  
浏览/下载:37/0
  |  
提交时间:2021/01/24
A generalization of linearized alternating direction method of multipliers for solving two-block separable convex programming
期刊论文
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2019, 卷号: 357, 页码: 251-272
作者:
Chang, Xiaokai
;
Liu, Sanyang
;
Zhao, Pengjun
;
Song, Dunjiang
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  |  
浏览/下载:9/0
  |  
提交时间:2019/11/15
Alternating direction method of multipliers
Proximal point algorithm
Separable convex programming
Linearization
Indefinite proximal regularization
LASSO
Stochastic Conjugate Gradient Algorithm With Variance Reduction
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 期号: 5, 页码: 1360-1369
作者:
Jin, Xiao-Bo
;
Zhang, Xu-Yao
;
Huang, Kaizhu
;
Geng, Guang-Gang
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  |  
浏览/下载:62/0
  |  
提交时间:2019/07/11
Computational efficiency
covariance reduction
empirical risk minimization (ERM)
linear convergence
stochastic conjugate gradient (CG)
Extended ADMM and BCD for nonseparable convex minimization models with quadratic coupling terms: convergence analysis and insights
期刊论文
MATHEMATICAL PROGRAMMING, 2019, 卷号: 173, 期号: 1-2, 页码: 37-77
作者:
Chen, Caihua
;
Li, Min
;
Liu, Xin
;
Ye, Yinyu
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  |  
浏览/下载:58/0
  |  
提交时间:2019/03/11
Nonseparable convex minimization
Alternating direction method of multipliers
Block coordinate descent method
Iterate convergence
Random permutation
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