2 citations · 5 across the 7 of their papers we have counts for
7 papers
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…
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…
A Screening Strategy for Structured Optimization Involving Nonconvex Regularization
Tiange Li, Xiangyu Yang, Hao Wang
In this paper, we develop a simple yet effective screening rule strategy to improve the computational efficiency in solving structured optimization involving nonconvex …
An Iteratively Reweighted Method for Sparse Optimization on Nonconvex Ball
Hao Wang, Xiangyu Yang, Wei Jiang
This paper is intended to solve the nonconvex -ball constrained nonlinear optimization problems. An iteratively reweighted method is proposed, which solves a sequence of…
Minimization Over the Nonconvex Sparsity Constraint Using A Hybrid First-order method
Xiangyu Yang, Hao Wang, Yichen Zhu +1
We investigate a class of nonconvex optimization problems characterized by a feasible set consisting of level-bounded nonconvex regularizers, with a continuously differentiable obj…
Towards An Efficient Approach for the Nonconvex Ball Projection: Algorithm and Analysis
Xiangyu Yang, Jiashan Wang, Hao Wang
This paper primarily focuses on computing the Euclidean projection of a vector onto the ball in which . Such a problem emerges as the core building block in s…
Sparse Optimization for Green Edge AI Inference
Xiangyu Yang, Sheng Hua, Yuanming Shi +3
With the rapid upsurge of deep learning tasks at the network edge, effective edge artificial intelligence (AI) inference becomes critical to provide low-latency intelligent service…