A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization.

Ching-pei Lee Cong Han Lim Stephen J. Wright

Published in: CoRR (2018)

Keyphrases

learning algorithm
optimization algorithm
active learning
neural network
convergence rate
empirical risk minimization
machine learning
training data
objective function
optimal solution
cost function
linear programming
expectation maximization
step size
training algorithm