A globally convergent approximate Newton method for non-convex sparse learning.

Fanfan Ji Hui Shuai Xiao-Tong Yuan

Published in: Pattern Recognit. (2022)

Keyphrases

globally convergent
newton method
convergence analysis
variational inequalities
linear equations
optimality conditions
regularized least squares
quadratic programming
global convergence
multi task
linear svm
nonnegative matrix factorization
machine learning
kernel function
global optimum
convex sets