Xiangyu Yang

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math.OC2025

Alternating Iteratively Reweighted $ℓ_{1}$ 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

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- $p$ norm of the matrix. Our contribution involves proposing accelerated iteratively rew…

Alternating Iteratively Reweighted ℓ1​ and Subspace Newton Algorithms for Nonconvex Sparse Optimization

Efficient Low-rank Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization

Alternating Iteratively Reweighted $ℓ_{1}$ and Subspace Newton Algorithms for Nonconvex Sparse Optimization