Budget-constrained Optimization
Budget-Constrained Optimization is an optimization framework that restricts resource allocation decisions to feasible solutions within a predefined financial limit, distinguishing it from general optimization methods by explicitly prioritizing cost efficiency as a binding constraint.
169
Publications
8.1K
Citations
440
Authors
241
Institutions
Publications per year
2017–2026
66
Parents
169
Convolutional neural networks at constrained time cost
Kaiming He, Jian Sun · 2015 · 1.5K citations
Budget optimization in search-based advertising auctions
Jon Feldman, S. Muthukrishnan, Martin Pál et al. · 2007 · 177 citations
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241
National University of Singapore
Singapore, Singapore
6 h-index
17 publications
771 citations
George Mason University
Fairfax, United States
5 h-index
6 publications
207 citations
Google (United States)
Mountain View, United States
4 h-index
7 publications
695 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
4 publications
349 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
8 publications
936 citations
University of California, Berkeley
Berkeley, United States
4 h-index
10 publications
225 citations
University of Maryland, College Park
College Park, United States
4 h-index
8 publications
415 citations
Microsoft (United States)
Redmond, United States
4 h-index
7 publications
3.2K citations
1–8 of 241
Repository · 10 publications · 196 citations
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5 publications · 118 citations
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3 publications · 120 citations
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3 publications · 169 citations
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3 publications · 326 citations
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