Stochastic Polyak Stepsize with a Moving Target

22 June 2021

Papers citing "Stochastic Polyak Stepsize with a Moving Target"

14 / 14 papers shown

Title
Temporal Context Consistency Above All: Enhancing Long-Term Anticipation by Learning and Enforcing Temporal Constraints Alberto Maté Mariella Dimiccoli AI4TS 26 0 0 27 Dec 2024
The High Line: Exact Risk and Learning Rate Curves of Stochastic Adaptive Learning Rate Algorithms Elizabeth Collins-Woodfin Inbar Seroussi Begona García Malaxechebarría Andrew W. Mackenzie Elliot Paquette Courtney Paquette 18 1 0 30 May 2024
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 25 1 0 05 Mar 2024
AdaBatchGrad: Combining Adaptive Batch Size and Adaptive Step Size P. Ostroukhov Aigerim Zhumabayeva Chulu Xiang Alexander Gasnikov Martin Takáč Dmitry Kamzolov ODL 33 2 0 07 Feb 2024
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms Farshed Abdukhakimov Chulu Xiang Dmitry Kamzolov Robert Mansel Gower Martin Takáč 27 2 0 28 Dec 2023
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction Xiao-Yan Jiang Sebastian U. Stich 17 18 0 11 Aug 2023
Function Value Learning: Adaptive Learning Rates Based on the Polyak Stepsize and Function Splitting in ERM Guillaume Garrigos Robert Mansel Gower Fabian Schaipp 8 5 0 26 Jul 2023
Variational Inference with Gaussian Score Matching Chirag Modi C. Margossian Yuling Yao Robert Mansel Gower David M. Blei Lawrence K. Saul 11 12 0 15 Jul 2023
Locally Adaptive Federated Learning Sohom Mukherjee Nicolas Loizou Sebastian U. Stich FedML 19 3 0 12 Jul 2023
Don't be so Monotone: Relaxing Stochastic Line Search in Over-Parameterized Models Leonardo Galli Holger Rauhut Mark W. Schmidt 11 11 0 22 Jun 2023
Prodigy: An Expeditiously Adaptive Parameter-Free Learner Konstantin Mishchenko Aaron Defazio ODL 17 54 0 09 Jun 2023
Layer-wise Adaptive Step-Sizes for Stochastic First-Order Methods for Deep Learning Achraf Bahamou D. Goldfarb ODL 20 0 0 23 May 2023
Adaptive Learning Rates for Faster Stochastic Gradient Methods Samuel Horváth Konstantin Mishchenko Peter Richtárik ODL 17 7 0 10 Aug 2022
SP2: A Second Order Stochastic Polyak Method Shuang Li W. Swartworth Martin Takávc Deanna Needell Robert Mansel Gower 15 13 0 17 Jul 2022