33 citations · 103 across the 18 of their papers we have counts for
Showing 2023 · math.OCShow all
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math.OC2023
On adaptive stochastic heavy ball momentum for solving linear systems
Yun Zeng, Deren Han, Yansheng Su +1
The stochastic heavy ball momentum (SHBM) method has gained considerable popularity as a scalable approach for solving large-scale optimization problems. However, one limitation of…
math.OC2023
Improving the generalization via coupled tensor norm regularization
Ying Gao, Yunfei Qu, Chunfeng Cui +1
In this paper, we propose a coupled tensor norm regularization that could enable the model output feature and the data input to lie in a low-dimensional manifold, which helps us to…
math.OC2023
Understanding the convergence of the preconditioned PDHG method: a view of indefinite proximal ADMM
Yumin Ma, Xingju Cai, Bo Jiang +1
The primal-dual hybrid gradient (PDHG) algorithm is popular in solving min-max problems which are being widely used in a variety of areas. To improve the applicability and efficien…