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Adam with Bandit Sampling for Deep Learning

Adam with Bandit Sampling for Deep Learning

24 October 2020
Rui Liu
Tianyi Wu
Barzan Mozafari
ArXivPDFHTML

Papers citing "Adam with Bandit Sampling for Deep Learning"

3 / 3 papers shown
Title
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Henrique Donâncio
Antoine Barrier
Leah F. South
Florence Forbes
28
0
0
16 Oct 2024
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity
A. Davtyan
Sepehr Sameni
L. Cerkezi
Givi Meishvili
Adam Bielski
Paolo Favaro
ODL
53
2
0
07 Jul 2021
1-bit Adam: Communication Efficient Large-Scale Training with Adam's
  Convergence Speed
1-bit Adam: Communication Efficient Large-Scale Training with Adam's Convergence Speed
Hanlin Tang
Shaoduo Gan
A. A. Awan
Samyam Rajbhandari
Conglong Li
Xiangru Lian
Ji Liu
Ce Zhang
Yuxiong He
AI4CE
45
84
0
04 Feb 2021
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