Sign in

Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning

By Vinod Kumar Chauhan and others
Nowadays stochastic approximation methods are one of the major research direction to deal with the large-scale machine learning problems. From stochastic first order methods, now the focus is shifting to stochastic second order methods due to their faster convergence and availability of computing resources. In this paper, we have proposed... Show more
June 8, 2019
=
0
Loading PDF…
Loading full text...
Similar articles
Loading recommendations...
=
0
x1
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning
Click on play to start listening