Block-diagonal Hessian-free Optimization for Training Neural Networks.

Huishuai Zhang Caiming Xiong James Bradbury Richard Socher

Published in: CoRR (2017)

Keyphrases

multiple objectives
block diagonal
linear programming problems
neural network
training process
pattern recognition
genetic algorithm
training samples
semidefinite programming
supervised learning
optimization algorithm
back propagation
constrained optimization