Optimal Computing Budget Allocation
Optimal Computing Budget Allocation is a methodological framework within simulation-based optimization that systematically apportions a limited computational budget across candidate solutions to maximize the probability of selecting the best design through statistical discrimination.
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2017–2026
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Ocba
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Scaling Laws for Neural Language Models
Jared Kaplan, Sam McCandlish, Tom Henighan et al. · arXiv (Cornell University) · 2020 · 1.5K citations · Full text
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National University of Singapore
Singapore, Singapore
21 h-index
72 publications
3.1K citations
George Mason University
Fairfax, United States
21 h-index
52 publications
2.4K citations
University of Maryland, College Park
College Park, United States
11 h-index
16 publications
919 citations
Tsinghua University
Beijing, China
7 h-index
15 publications
451 citations

INSEAD
Fontainebleau, France
7 h-index
9 publications
560 citations
Fudan University
Shanghai, China
6 h-index
9 publications
263 citations
Southwestern University of Finance and Economics
Chengdu, China
6 h-index
10 publications
674 citations

National Taiwan University
Taipei, Taiwan
6 h-index
6 publications
249 citations
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10 publications · 428 citations
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Conference · 5 publications · 225 citations
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