Gradient Learning under Tilted Empirical Risk Minimization

Gradient Learning (GL), aiming to estimate the gradient of target function, has attracted much attention in variable selection problems due to its mild structure requirements and wide applicability. Despite rapid progress, the majority of the existing GL works are based on the empirical risk minimiz...

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Detalles Bibliográficos
Autores principales: Liu, Liyuan, Song, Biqin, Pan, Zhibin, Yang, Chuanwu, Xiao, Chi, Li, Weifu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320015/
https://www.ncbi.nlm.nih.gov/pubmed/35885179
http://dx.doi.org/10.3390/e24070956

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320015/
https://www.ncbi.nlm.nih.gov/pubmed/35885179
http://dx.doi.org/10.3390/e24070956

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