Randomized Quasi-Newton Updates are Linearly Convergent Matrix Inversion Algorithms.

Robert M. Gower Peter Richtárik

Published in: CoRR (2016)

Keyphrases

matrix inversion
quasi newton
learning algorithm
optimization problems
cost function
computational cost
optimization methods
support vector
high dimensional
regression model