Shummin Nakayama

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 5

Top Topics

Global Convergence

Sparse Regression

Feature Selection And Classification

Top Venues

Comput. Optim. Appl.

J. Optim. Theory Appl.

Publications

Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe
Inexact proximal DC Newton-type method for nonconvex composite functions. Comput. Optim. Appl. 87 (2) (2024)
Shotaro Yagishita, Shummin Nakayama
An acceleration of proximal diagonal Newton method. JSIAM Lett. 16 (2024)
Yasushi Narushima, Shummin Nakayama, Masashi Takemura, Hiroshi Yabe
Memoryless Quasi-Newton Methods Based on the Spectral-Scaling Broyden Family for Riemannian Optimization. J. Optim. Theory Appl. 197 (2) (2023)
Shummin Nakayama, Jun-ya Gotoh
On the superiority of PGMs to PDCAs in nonsmooth nonconvex sparse regression. Optim. Lett. 15 (8) (2021)
Shummin Nakayama, Yasushi Narushima, Hiroshi Yabe
Inexact proximal memoryless quasi-Newton methods based on the Broyden family for minimizing composite functions. Comput. Optim. Appl. 79 (1) (2021)