Fast max-affine regression via stochastic gradient descent-Reference-Cited by-同舟云学术

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Fast max-affine regression via stochastic gradient descent

Published:2023-09-26 Issue: Volume: Page:
ISSN:
Container-title:2023 59th Annual Allerton Conference on Communication, Control, and Computing (Allerton)
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Author:

Kim Seonho¹,Lee Kiryung¹

Affiliation:

1. The Ohio State University,Department of Electrical and Computer Engineering,Columbus,OH,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10313338/10313355/10313409.pdf?arnumber=10313409

Reference21 articles.

1. Max-affine regression by first-order methods;kim;preparation,0

2. Max-affine regression: Parameter estimation for gaussian designs;ghosh;IEEE Transactions on Information Theory,2021

3. Model-agnostic meta-learning for fast adaptation of deep networks;finn;International Conference on Machine Learning,2017

4. How to escape saddle points efficiently;jin;International Conference on Machine Learning,2017

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