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The Geometry of Sign Gradient Descent

The Geometry of Sign Gradient Descent

19 February 2020
Lukas Balles
Fabian Pedregosa
Nicolas Le Roux
    ODL
ArXivPDFHTML

Papers citing "The Geometry of Sign Gradient Descent"

6 / 6 papers shown
Title
Faster Acceleration for Steepest Descent
Faster Acceleration for Steepest Descent
Site Bai
Brian Bullins
ODL
36
0
0
28 Sep 2024
Deconstructing What Makes a Good Optimizer for Language Models
Deconstructing What Makes a Good Optimizer for Language Models
Rosie Zhao
Depen Morwani
David Brandfonbrener
Nikhil Vyas
Sham Kakade
50
17
0
10 Jul 2024
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent
  on Language Models
Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models
Frederik Kunstner
Robin Yadav
Alan Milligan
Mark Schmidt
Alberto Bietti
39
25
0
29 Feb 2024
Nonlinear gradient mappings and stochastic optimization: A general
  framework with applications to heavy-tail noise
Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise
D. Jakovetić
Dragana Bajović
Anit Kumar Sahu
S. Kar
Nemanja Milošević
Dusan Stamenkovic
19
12
0
06 Apr 2022
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Hard to Forget: Poisoning Attacks on Certified Machine Unlearning
Neil G. Marchant
Benjamin I. P. Rubinstein
Scott Alfeld
MU
AAML
25
69
0
17 Sep 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
139
1,201
0
16 Aug 2016
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