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Training Learned Optimizers with Randomly Initialized Learned Optimizers

Training Learned Optimizers with Randomly Initialized Learned Optimizers

14 January 2021
Luke Metz
C. Freeman
Niru Maheswaranathan
Jascha Narain Sohl-Dickstein
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Papers citing "Training Learned Optimizers with Randomly Initialized Learned Optimizers"

11 / 11 papers shown
Title
Training neural networks faster with minimal tuning using pre-computed lists of hyperparameters for NAdamW
Sourabh Medapati
Priya Kasimbeg
Shankar Krishnan
Naman Agarwal
George E. Dahl
51
0
0
06 Mar 2025
Investigation into the Training Dynamics of Learned Optimizers
Investigation into the Training Dynamics of Learned Optimizers
Jan Sobotka
Petr Simánek
Daniel Vasata
26
0
0
12 Dec 2023
Deep Model Predictive Optimization
Deep Model Predictive Optimization
Jacob Sacks
Rwik Rana
Kevin Huang
Alex Spitzer
Guanya Shi
Byron Boots
32
7
0
06 Oct 2023
Brain-inspired learning in artificial neural networks: a review
Brain-inspired learning in artificial neural networks: a review
Samuel Schmidgall
Jascha Achterberg
Thomas Miconi
Louis Kirsch
Rojin Ziaei
S. P. Hajiseyedrazi
Jason Eshraghian
16
50
0
18 May 2023
Arbitrary Order Meta-Learning with Simple Population-Based Evolution
Arbitrary Order Meta-Learning with Simple Population-Based Evolution
Chris Xiaoxuan Lu
Sebastian Towers
Jakob N. Foerster
16
5
0
16 Mar 2023
Learning to Generalize Provably in Learning to Optimize
Learning to Generalize Provably in Learning to Optimize
Junjie Yang
Tianlong Chen
Mingkang Zhu
Fengxiang He
Dacheng Tao
Yitao Liang
Zhangyang Wang
23
6
0
22 Feb 2023
Learning to Optimize with Dynamic Mode Decomposition
Learning to Optimize with Dynamic Mode Decomposition
Petr Simánek
Daniel Vasata
Pavel Kordík
21
5
0
29 Nov 2022
Discovering Evolution Strategies via Meta-Black-Box Optimization
Discovering Evolution Strategies via Meta-Black-Box Optimization
R. T. Lange
Tom Schaul
Yutian Chen
Tom Zahavy
Valenti Dallibard
Chris Xiaoxuan Lu
Satinder Singh
Sebastian Flennerhag
24
47
0
21 Nov 2022
VeLO: Training Versatile Learned Optimizers by Scaling Up
VeLO: Training Versatile Learned Optimizers by Scaling Up
Luke Metz
James Harrison
C. Freeman
Amil Merchant
Lucas Beyer
...
Naman Agrawal
Ben Poole
Igor Mordatch
Adam Roberts
Jascha Narain Sohl-Dickstein
21
60
0
17 Nov 2022
Practical tradeoffs between memory, compute, and performance in learned
  optimizers
Practical tradeoffs between memory, compute, and performance in learned optimizers
Luke Metz
C. Freeman
James Harrison
Niru Maheswaranathan
Jascha Narain Sohl-Dickstein
28
32
0
22 Mar 2022
Neural Fixed-Point Acceleration for Convex Optimization
Neural Fixed-Point Acceleration for Convex Optimization
Shobha Venkataraman
Brandon Amos
38
13
0
21 Jul 2021
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