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20232026
most citedA variable smoothing for Nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering

2 citations · 3 across the 6 of their papers we have counts for

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math.OC2023

Piecewise Linearity of Min-Norm Solution Map of a Nonconvexly Regularized Convex Sparse Model

Yi Zhang, Isao Yamada

It is well known that the minimum -norm solution of the convex LASSO model, say , is a continuous piecewise linear function of the regularization parame…

math.OC2023★ 2 cited

A variable smoothing for Nonconvexly constrained nonsmooth optimization with application to sparse spectral clustering

Keita Kume, Isao Yamada

We propose a variable smoothing algorithm for solving nonconvexly constrained nonsmooth optimization problems. The target problem has two issues that need to be addressed: (i) the…