Search Results for author: Prabhu Teja S*

Found 1 papers, 0 papers with code

On the Tunability of Optimizers in Deep Learning

no code implementations25 Sep 2019 Prabhu Teja S*, Florian Mai*, Thijs Vogels, Martin Jaggi, Francois Fleuret

There is no consensus yet on the question whether adaptive gradient methods like Adam are easier to use than non-adaptive optimization methods like SGD.

Cannot find the paper you are looking for? You can Submit a new open access paper.