The effective noise of Stochastic Gradient Descent

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The effective noise of Stochastic Gradient Descent

20 December 2021

Francesca Mignacco

Pierfrancesco Urbani

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Papers citing "The effective noise of Stochastic Gradient Descent"

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Title
Convergence, Sticking and Escape: Stochastic Dynamics Near Critical Points in SGD Dmitry Dudukalov Artem Logachov Vladimir Lotov Timofei Prasolov Evgeny Prokopenko Anton Tarasenko 67 0 0 24 May 2025
Deep Linear Network Training Dynamics from Random Initialization: Data, Width, Depth, and Hyperparameter Transfer Blake Bordelon Cengiz Pehlevan AI4CE 225 1 0 04 Feb 2025
Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems Maria Chiara Angelini A. Cavaliere Raffaele Marino F. Ricci-Tersenghi 112 5 0 11 Sep 2023
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics Yehonatan Avidan Qianyi Li H. Sompolinsky 133 8 0 08 Sep 2023
Rigorous dynamical mean field theory for stochastic gradient descent methods Cédric Gerbelot Emanuele Troiani Francesca Mignacco Florent Krzakala Lenka Zdeborova 114 29 0 12 Oct 2022
Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks Blake Bordelon Cengiz Pehlevan MLT 82 85 0 19 May 2022