A pareto dominance principle for data-driven optimization
Year of publication: |
2024
|
---|---|
Authors: | Sutter, Tobias ; Parys, Bart P. G. van ; Kuhn, Daniel |
Published in: |
Operations research. - Linthicum, Md. : INFORMS, ISSN 1526-5463, ZDB-ID 2019440-7. - Vol. 72.2024, 5, p. 1976-1999
|
Subject: | data-driven decision making | large deviations | Machine Learning and Data Science | robust optimization | stochastic optimization | Künstliche Intelligenz | Artificial intelligence | Theorie | Theory | Mathematische Optimierung | Mathematical programming | Robustes Verfahren | Robust statistics | Stochastischer Prozess | Stochastic process | Big Data | Big data |
-
Distributionally robust losses for latent covariate mixtures
Duchi, John C., (2023)
-
Robust dynamic assortment optimization in the presence of outlier customers
Chen, Xi, (2024)
-
Distributionally robust stochastic optimization with Wasserstein distance
Gao, Rui, (2023)
- More ...
-
From data to decisions : distributionally robust optimization is optimal
Parys, Bart P. G. van, (2021)
-
Optimal learning for structured bandits
Parys, Bart P. G. van, (2024)
-
Efficient data-driven optimization with noisy data
Parys, Bart P. G. van, (2024)
- More ...