Stochastic Accelerated Alternating Direction Method of Multipliers with Importance Sampling

被引:4
|
作者
Chen, Chenxi [1 ]
Chen, Yunmei [1 ]
Ouyang, Yuyuan [2 ]
Pasiliao, Eduardo [3 ]
机构
[1] Univ Florida, Dept Math, Gainesville, FL 32611 USA
[2] Clemson Univ, Dept Math Sci, Clemson, SC USA
[3] Air Force Res Lab, Munit Directorate, AFB, Eglin, FL USA
基金
美国国家科学基金会;
关键词
Stochastic ADMM; Duality gap; Variance estimation; Importance sampling; 90C06; 90C25; 90C30; OPTIMIZATION;
D O I
10.1007/s10957-018-1270-0
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
In this paper, we incorporate importance sampling strategy into accelerated framework of stochastic alternating direction method of multipliers for solving a class of stochastic composite problems with linear equality constraint. The rates of convergence for primal residual and feasibility violation are established. Moreover, the estimation of variance of stochastic gradient is improved due to the use of important sampling. The proposed algorithm is capable of dealing with the situation, where the feasible set is unbounded. The experimental results indicate the effectiveness of the proposed method.
引用
收藏
页码:676 / 695
页数:20
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