The motivation for this paper stems from the desire to develop an adapti...
The standard L-BFGS method relies on gradient approximations that are no...
In this paper, we propose a stochastic optimization method that adaptive...
The concepts of sketching and subsampling have recently received much
at...
The paper studies the solution of stochastic optimization problems in wh...
This paper provides a review and commentary on the past, present, and fu...
The question of how to parallelize the stochastic gradient descent (SGD)...