On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent

1 July 2020

Papers citing "On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent"

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Title
AutoSGD: Automatic Learning Rate Selection for Stochastic Gradient Descent Nikola Surjanovic Alexandre Bouchard-Côté Trevor Campbell 30 0 0 27 May 2025
Adaptive Learning Rate and Momentum for Training Deep Neural Networks Zhiyong Hao Yixuan Jiang Huihua Yu H. Chiang ODL 37 10 0 22 Jun 2021
SVRG Meets AdaGrad: Painless Variance Reduction Benjamin Dubois-Taine Sharan Vaswani Reza Babanezhad Mark Schmidt Simon Lacoste-Julien 61 18 0 18 Feb 2021
Robust, Accurate Stochastic Optimization for Variational Inference Akash Kumar Dhaka Alejandro Catalina Michael Riis Andersen Maans Magnusson Jonathan H. Huggins Aki Vehtari 71 34 0 01 Sep 2020