One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares-Reference-Cited by-同舟云学术

One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 61st Conference on Decision and Control (CDC)
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Author:

Min Youngjae¹,Ahn Kwangjun¹,Azizan Navid¹

Affiliation:

1. Massachusetts Institute of Technology,Laboratory for Information and Decision Systems,Cambridge,MA,USA,02139

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9992315/9992317/09992939.pdf?arnumber=9992939

Reference20 articles.

1. One-Pass Learning via Bridging Orthogonal Gradient Descent and Recursive Least-Squares

2. Learning overparameterized neural networks via stochastic gradient descent on structured data;li;Advances in neural information processing systems,2018

3. Online Deep Learning: Learning Deep Neural Networks on the Fly

4. Streamed learning:´ one-pass svms;rai;Proceedings of the 21st International Joint Conference on Artificial Intelligence,2009

5. Revisiting recursive least squares for training deep neural networks;zhang,2021

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