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Stochastic Gradient Descent with Preconditioned Polyak Step-size

Stochastic Gradient Descent with Preconditioned Polyak Step-size

3 October 2023
Farshed Abdukhakimov
Chulu Xiang
Dmitry Kamzolov
Martin Takáč
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Papers citing "Stochastic Gradient Descent with Preconditioned Polyak Step-size"

4 / 4 papers shown
Title
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Sayantan Choudhury
N. Tupitsa
Nicolas Loizou
Samuel Horváth
Martin Takáč
Eduard A. Gorbunov
30
1
0
05 Mar 2024
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size
P. Ostroukhov
Aigerim Zhumabayeva
Chulu Xiang
Alexander Gasnikov
Martin Takáč
Dmitry Kamzolov
ODL
38
2
0
07 Feb 2024
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant
  Stochastic Algorithms
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms
Farshed Abdukhakimov
Chulu Xiang
Dmitry Kamzolov
Robert Mansel Gower
Martin Takáč
35
2
0
28 Dec 2023
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence
  and Variance Reduction
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
Xiao-Yan Jiang
Sebastian U. Stich
22
18
0
11 Aug 2023
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