A Robust Multi-Batch L-BFGS Method for Machine Learning

26 July 2017

Papers citing "A Robust Multi-Batch L-BFGS Method for Machine Learning"

5 / 5 papers shown

Title
Component-Wise Natural Gradient Descent -- An Efficient Neural Network Optimization Tran van Sang Mhd Irvan R. Yamaguchi Toshiyuki Nakata 15 1 0 11 Oct 2022
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization Raghu Bollapragada Stefan M. Wild 35 11 0 24 Sep 2021
SONIA: A Symmetric Blockwise Truncated Optimization Algorithm Majid Jahani M. Nazari R. Tappenden A. Berahas Martin Takávc ODL 11 10 0 06 Jun 2020
Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample A. Berahas Majid Jahani Peter Richtárik Martin Takávc 24 40 0 28 Jan 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016