Adaptive Optimization
Adaptive Optimization is a stochastic optimization method that iteratively adjusts its update rules based on accumulated gradient information to improve convergence properties in non-stationary or ill-conditioned landscapes.
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2017–2026
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Institut national de recherche en sciences et technologies du numérique, France
10 publications · 2.3K citations
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University of California, Berkeley
Berkeley, United States
21 h-index
39 publications
15.8K citations
Tsinghua University
Beijing, China
15 h-index
42 publications
1.8K citations

Centre National de la Recherche Scientifique
Paris, France
15 h-index
36 publications
1.4K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
15 h-index
32 publications
2.4K citations

Chinese Academy of Sciences
Beijing, China
14 h-index
31 publications
1.7K citations
Massachusetts Institute of Technology
Cambridge, United States
13 h-index
29 publications
3K citations
University of Michigan
Ann Arbor, United States
12 h-index
18 publications
714 citations
University of Science and Technology of China
Hefei, China
12 h-index
37 publications
3.6K citations
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Repository · 104 publications · 7.5K citations
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