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From Data to Decisions: Distributionally Robust Optimization Is Optimal.
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- Management Science, 2021, v. 67, n. 6, p. 3387, doi. 10.1287/mnsc.2020.3678
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Data-driven distributionally robust optimization using the Wasserstein metric: performance guarantees and tractable reformulations.
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- Mathematical Programming, 2018, v. 171, n. 1/2, p. 115, doi. 10.1007/s10107-017-1172-1
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Data-driven inverse optimization with imperfect information.
- Published in:
- Mathematical Programming, 2018, v. 167, n. 1, p. 191, doi. 10.1007/s10107-017-1216-6
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- Article
Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator.
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- Operations Research, 2022, v. 70, n. 1, p. 490, doi. 10.1287/opre.2020.2076
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- Article
Generalized maximum entropy estimation.
- Published in:
- Journal of Machine Learning Research, 2019, v. 20, n. 137-159, p. 1
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- Article