Cvar Optimization
CVaR Optimization is a risk-sensitive decision-making framework that belongs to the class of stochastic optimization methods, distinguished by its focus on minimizing the Conditional Value-at-Risk—a coherent measure of tail risk—thereby prioritizing performance in the worst-case outcomes beyond a specified quantile threshold.
208
Publications
16.3K
Citations
543
Authors
282
Institutions
Publications per year
2017–2026
115
Variants
Conditional Value-at-risk Optimization
208
Optimization of conditional value-at-risk
R. T. Rockafellar, Stan Uryasev · The Journal of Risk · 2000 · 6.5K citations
Business, Finance, Risk Management +17
Conditional value-at-risk: optimization algorithms and applications
Stan Uryasev · 2002 · 376 citations
Business, Finance, Mathematics +17
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282
University of Florida
Gainesville, United States
8 h-index
8 publications
1.4K citations

North China Electric Power University
Beijing, China
7 h-index
7 publications
407 citations
National University of Singapore
Singapore, Singapore
6 h-index
6 publications
535 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
6 h-index
6 publications
249 citations

South China University of Technology
Guangzhou, China
5 h-index
5 publications
199 citations
Technion – Israel Institute of Technology
Haifa, Israel
5 h-index
5 publications
328 citations
Guangdong University of Technology
Guangzhou, China
4 h-index
4 publications
172 citations
Shandong University
Jinan, China
4 h-index
4 publications
197 citations
1–8 of 282
10 publications · 489 citations
10
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Repository · 12 publications · 342 citations
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7 publications · 412 citations
7
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7 publications · 269 citations
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7 publications · 371 citations
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