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"Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound."

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

Yawei Zhao et al. (2022)

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DOI: 10.1109/TNNLS.2021.3087579

access: closed

type: Journal Article

metadata version: 2022-12-30

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  - https://dblp.org/rec/journals/tnn/ZhaoQLLYL22
Yawei Zhao, Shuang Qiu, Kuan Li, Lailong Luo, Jianping Yin, Ji Liu:
Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7755-7764 (2022)

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