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Learning to Optimize in Swarms

Learning to optimize has emerged as a powerful framework for various optimization and machine learning tasks. Current such “meta-optimizers” often learn in the space of continuous optimization algorithms that are point-based and uncertainty-unaware. To overcome the limitations, we propose a meta-opt...

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書誌詳細
出版年:Adv Neural Inf Process Syst
主要な著者: Cao, Yue, Chen, Tianlong, Wang, Zhangyang, Shen, Yang
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC7274747/
https://ncbi.nlm.nih.gov/pubmed/32508484
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