Surrogate-assisted Gradient Estimation
Surrogate-Assisted Gradient Estimation is a computational technique within surrogate-based optimization that approximates gradient information of an expensive black-box objective function by leveraging a surrogate model to enable gradient-based optimization methods.
19
Publications
1.2K
Citations
78
Authors
32
Institutions
Publications per year
2017–2026
17
Parents
19
1–5 of 19
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32

Huazhong University of Science and Technology
Wuhan, China
3 h-index
11 publications
673 citations

Fuzhou University
Fuzhou, China
2 h-index
3 publications
396 citations
Massachusetts Institute of Technology
Cambridge, United States
2 h-index
8 publications
428 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
11 publications
286 citations

Xiangtan University
Xiangtan, China
1 h-index
4 publications
156 citations
Shandong University of Science and Technology
Qingdao, China
1 h-index
2 publications
282 citations
Qingdao University of Science and Technology
Qingdao, China
1 h-index
1 publications
114 citations
Minjiang University
Fuzhou, China
1 h-index
1 publications
141 citations
1–8 of 32
4 publications · 205 citations
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Repository · 3 publications · 63 citations
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2 publications · 65 citations
2
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2 publications · 208 citations
2
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2 publications · 256 citations
2
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1–5