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Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model
Author(s) -
Raphaël Berthier,
Francis Bach,
Pierre Gaillard
Publication year - 2020
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
Subject(s) - stochastic gradient descent , convergence (economics) , nonparametric statistics , computer science , gradient descent , rate of convergence , mathematical optimization , mathematics , econometrics , artificial intelligence , artificial neural network , telecommunications , economics , channel (broadcasting) , economic growth

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