571 citations · 729 across the 15 of their papers we have counts for
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math.OC2016
Exact and Inexact Subsampled Newton Methods for Optimization
Raghu Bollapragada, Richard Byrd, Jorge Nocedal
The paper studies the solution of stochastic optimization problems in which approximations to the gradient and Hessian are obtained through subsampling. We first consider Newton-li…
math.OC2016★ 25 cited
A Multi-Batch L-BFGS Method for Machine Learning
Albert S. Berahas, Jorge Nocedal, Martin Takáč
The question of how to parallelize the stochastic gradient descent (SGD) method has received much attention in the literature. In this paper, we focus instead on batch methods that…