3 citations · 8 across the 9 of their papers we have counts for
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math.OC2024
Alternating Iteratively Reweighted and Subspace Newton Algorithms for Nonconvex Sparse Optimization
Hao Wang, Xiangyu Yang, Yichen Zhu
This paper presents a novel hybrid algorithm for minimizing the sum of a continuously differentiable loss function and a nonsmooth, possibly nonconvex, sparse regularization functi…
math.OC2024★ 1 cited
Efficient Low-rank Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization
Hao Wang, Ye Wang, Xiangyu Yang
This paper considers the problem of minimizing the sum of a smooth function and the Schatten- norm of the matrix. Our contribution involves proposing accelerated iteratively rew…
math.OC2024
Avoiding strict saddle points of nonconvex regularized problems
Luwei Bai, Yaohua Hu, Hao Wang +1
In this paper, we consider a class of non-convex and non-smooth sparse optimization problems, which encompass most existing nonconvex sparsity-inducing terms. We show the second-or…