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Gradient-only line searches: An Alternative to Probabilistic Line
  Searches

Gradient-only line searches: An Alternative to Probabilistic Line Searches

22 March 2019
D. Kafka
D. Wilke
    ODL
ArXivPDFHTML

Papers citing "Gradient-only line searches: An Alternative to Probabilistic Line Searches"

4 / 4 papers shown
Title
A straightforward line search approach on the expected empirical loss
  for stochastic deep learning problems
A straightforward line search approach on the expected empirical loss for stochastic deep learning problems
Max Mutschler
A. Zell
36
0
0
02 Oct 2020
Descending through a Crowded Valley - Benchmarking Deep Learning
  Optimizers
Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers
Robin M. Schmidt
Frank Schneider
Philipp Hennig
ODL
42
162
0
03 Jul 2020
Empirical study towards understanding line search approximations for
  training neural networks
Empirical study towards understanding line search approximations for training neural networks
Younghwan Chae
D. Wilke
27
11
0
15 Sep 2019
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
182
683
0
07 Dec 2010
1