Open AccessLearning rates for the kernel regularized regression with a differentiable strongly convex loss
Author(s) -
Baohuai Sheng,
Huanxiang Liu,
Huimin Wang
Publication year - 2020
Publication title -
communications on pure and applied analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.077
H-Index - 42
eISSN - 1553-5258
pISSN - 1534-0392
DOI - 10.3934/cpaa.2020176
Subject(s) - mathematics , reproducing kernel hilbert space , differentiable function , logarithm , regular polygon , kernel (algebra) , convex function , convex combination , metric (unit) , subderivative , combinatorics , hilbert space , convex optimization , pure mathematics , mathematical analysis , economics , operations management , geometry