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Step-size Adaptation Using Exponentiated Gradient Updates

Step-size Adaptation Using Exponentiated Gradient Updates

31 January 2022
Ehsan Amid
Rohan Anil
Christopher Fifty
Manfred K. Warmuth
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Papers citing "Step-size Adaptation Using Exponentiated Gradient Updates"

7 / 7 papers shown
Title
Adaptive Coordinate-Wise Step Sizes for Quasi-Newton Methods: A Learning-to-Optimize Approach
Wei Lin
Qingyu Song
Hong Xu
84
1
0
25 Nov 2024
MetaOptimize: A Framework for Optimizing Step Sizes and Other
  Meta-parameters
MetaOptimize: A Framework for Optimizing Step Sizes and Other Meta-parameters
Arsalan Sharifnassab
Saber Salehkaleybar
Richard Sutton
19
3
0
04 Feb 2024
An Automatic Learning Rate Schedule Algorithm for Achieving Faster
  Convergence and Steeper Descent
An Automatic Learning Rate Schedule Algorithm for Achieving Faster Convergence and Steeper Descent
Zhao-quan Song
Chiwun Yang
19
9
0
17 Oct 2023
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional
  Backtracking
Searching for Optimal Per-Coordinate Step-sizes with Multidimensional Backtracking
Frederik Kunstner
V. S. Portella
Mark W. Schmidt
Nick Harvey
8
8
0
05 Jun 2023
Federated Hypergradient Descent
Federated Hypergradient Descent
A. K. Kan
FedML
19
3
0
03 Nov 2022
Learning to Optimize Quasi-Newton Methods
Learning to Optimize Quasi-Newton Methods
Isaac Liao
Rumen Dangovski
Jakob N. Foerster
Marin Soljacic
13
4
0
11 Oct 2022
Large-Scale Differentially Private BERT
Large-Scale Differentially Private BERT
Rohan Anil
Badih Ghazi
Vineet Gupta
Ravi Kumar
Pasin Manurangsi
17
131
0
03 Aug 2021
1