Parameter Optimization
Parameter Optimization is a systematic process within design optimization that identifies the optimal values of predefined variables in a model or system to minimize or maximize a specific performance criterion while satisfying specified constraints.
5.4K
Publications
346.3K
Citations
13.1K
Authors
2.9K
Institutions
Publications per year
2017–2026
1.9K
5.4K
Random search for hyper-parameter optimization
James Bergstra, Yoshua Bengio · 2012 · 7.9K citations
Takuya Akiba, Shotaro Sano, Toshihiko Yanase et al. · 2019 · 7.4K citations
1–5 of 5.4K
13.1K
24
h-index
19
h-index
15
h-index
14
h-index
14
h-index
1–5 of 13.1K
2.9K
Carnegie Mellon University
Pittsburgh, United States
31 h-index
111 publications
11.6K citations

Huazhong University of Science and Technology
Wuhan, China
29 h-index
170 publications
7.9K citations
Massachusetts Institute of Technology
Cambridge, United States
28 h-index
79 publications
8.7K citations
National University of Singapore
Singapore, Singapore
27 h-index
87 publications
8.2K citations
Stanford University
Stanford, United States
26 h-index
86 publications
8.8K citations
Nanyang Technological University
Singapore, Singapore
24 h-index
67 publications
6.6K citations
Tsinghua University
Beijing, China
24 h-index
124 publications
27.8K citations
University of California, Berkeley
Berkeley, United States
24 h-index
60 publications
4.2K citations
1–8 of 2.9K
Repository · 110 publications · 13.3K citations
38
h-index
42 publications · 5.3K citations
37
h-index
78 publications · 3.3K citations
34
h-index
69 publications · 3.1K citations
33
h-index
51 publications · 3.5K citations
32
h-index
1–5