Π-ORFit: One-Pass Learning with Bregman Projection-Reference-Cited by-同舟云学术

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Π-ORFit: One-Pass Learning with Bregman Projection

Published:2024-07-10 Issue: Volume: Page:4345-4352
ISSN:
Container-title:2024 American Control Conference (ACC)
language:
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Author:

Cho Namhoon¹,Min Youngjae²,Shin Hyo-Sang¹,Azizan Navid²

Affiliation:

1. School of Aerospace, Transport and Manufacturing, Cranfield University,Centre for Autonomous and Cyber-Physical Systems,Cranfield, Bedfordshire,United Kingdom,MK43 OAL

2. Massachusetts Institute of Technology,Laboratory for Information & Decision Systems,Cambridge,MA,United States,02139

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10644130/10644150/10644991.pdf?arnumber=10644991

Reference26 articles.

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

2. Orthogonal Gradient Descent for Continual Learning;Farajtabar,2020

3. Distribution-Free One-Pass Learning

4. Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization;Azizan

5. Stochastic Mirror Descent on Overparameterized Nonlinear Models

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