Convergence guarantees for forward gradient descent in the linear regression model-Reference-Cited by-同舟云学术

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Convergence guarantees for forward gradient descent in the linear regression model

Published:2024-12 Issue: Volume:233 Page:106174
ISSN:0378-3758
Container-title:Journal of Statistical Planning and Inference
language:en
Short-container-title:Journal of Statistical Planning and Inference

Author:

Bos Thijs,Schmidt-Hieber Johannes

Funder

Society of Transnational Academic Researchers Scholars Network

NWO

Publisher

Elsevier BV

Reference32 articles.

1. Non-strongly-convex smooth stochastic approximation with convergence rate O (1/n);Bach;Adv. Neural Inf. Process. Syst.,2013

2. Automatic differentiation in machine learning: a survey;Baydin;J. Mach. Learn. Res.,2018

3. Gradients without backpropagation;Baydin,2022

4. Adaptive algorithms and stochastic approximations;Benveniste,1990

5. Simulation code: Convergence guarantees for forward gradient descent in the linear regression model;Bos,2024

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