A Convex-Nonconvex Framework for Enhancing Minimization Induced Penalties
H Kuroda - arXiv preprint arXiv:2407.14819, 2024 - arxiv.org
This paper presents a novel framework for nonconvex enhancement of minimization
induced (MI) penalties while preserving the overall convexity of associated regularization …
induced (MI) penalties while preserving the overall convexity of associated regularization …
[PDF][PDF] Some Contributions to Numerical Optimization and Statistical Learning.
Q Heng - 2023 - repository.lib.ncsu.edu
ABSTRACT HENG, QIANG. Some Contributions to Numerical Optimization and Statistical
Learning.(Under the direction of Eric C. Chi and Donald EK Martin). This dissertation delves …
Learning.(Under the direction of Eric C. Chi and Donald EK Martin). This dissertation delves …
[图书][B] Penalization Methods for Structured Data Analysis
X Liu - 2022 - search.proquest.com
Penalization has been a powerful technique for structured data analysis and found wide
applications in statistics, machine learning, and signal processing. Examples include …
applications in statistics, machine learning, and signal processing. Examples include …