Recourse Models
Recourse Models is a type of stochastic optimization framework that distinguishes itself by incorporating adaptive decision-making stages, where initial decisions are followed by corrective actions in response to the realization of random variables.
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14.3K
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504
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279
Institutions
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2017–2026
64
Variants
Stochastic Programming With Recourse
Parents
236
Actionable Recourse in Linear Classification
Berk Ustun, Alexander Spangher, Yang Liu · 2019 · 454 citations · Full text
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University of Groningen
Groningen, The Netherlands
11 h-index
18 publications
544 citations
University of Arizona
Tucson, United States
6 h-index
9 publications
1K citations
University of California, Berkeley
Berkeley, United States
6 h-index
12 publications
1.3K citations
National University of Singapore
Singapore, Singapore
5 h-index
7 publications
2K citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
11 publications
864 citations
The University of Texas at Austin
Austin, United States
5 h-index
8 publications
383 citations
Université du Québec à Montréal
Montreal, Canada
4 h-index
5 publications
326 citations
University of Iowa
Iowa City, United States
4 h-index
8 publications
405 citations
1–8 of 279
12 publications · 914 citations
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10 publications · 1.9K citations
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10 publications · 1.7K citations
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9 publications · 1.3K citations
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Repository · 9 publications · 361 citations
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