Meta-optimization
Meta-Optimization is a meta-learning strategy that involves the systematic adaptation of optimization algorithms or their hyperparameters to improve the learning process of base-level models by learning from past optimization experiences.
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Publications
46.4K
Citations
2.1K
Authors
886
Institutions
Publications per year
2017–2026
470
Parents
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886

Jadavpur University
Kolkata, India
11 h-index
31 publications
1.6K citations
Universidade de São Paulo
São Paulo, Brazil
11 h-index
23 publications
1.2K citations

Universidade do Porto
Porto, Portugal
9 h-index
12 publications
455 citations

Ain Shams University
Cairo, Egypt
9 h-index
13 publications
1K citations
University of Technology Sydney
Sydney, Australia
9 h-index
9 publications
3.1K citations

Iran University of Science and Technology
Tehran, Iran
9 h-index
15 publications
2.4K citations
University of Hradec Králové
Hradec Králové, Czechia
9 h-index
20 publications
2.3K citations

Zagazig University
Zagazig, Egypt
8 h-index
12 publications
3.7K citations
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Repository · 41 publications · 1.5K citations
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26 publications · 1.8K citations
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10 publications · 471 citations
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9 publications · 463 citations
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9 publications · 1.3K citations
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