Name: Distributionally Robust Learning
Price: 1097.95 DKK
Availability: InStock
Author: Ruidi Chen
ISBN: 9781680837728

Distributionally Robust Learning af Ruidi Chen

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Presents a comprehensive statistical learning framework that uses Distributionally Robust Optimization (DRO) under the Wasserstein metric to ensure robustness to perturbationsin the data. The authors introduce the reader to the fundamental properties of the Wasserstein metric and the DRO formulation, before explaining the theory in detail.

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Sprog:
Engelsk

ISBN:
9781680837728

Forlag:
now publishers Inc

Indbinding:
Paperback

Sideantal:
256

Udgivet:
23. december 2020

Størrelse:
156x234x0 mm.

Vægt:
365 g.

Leveringstid: 2-3 uger.
Forventet levering: 10. december 2024

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Presents a comprehensive statistical learning framework that uses Distributionally Robust Optimization (DRO) under the Wasserstein metric to ensure robustness to perturbationsin the data. The authors introduce the reader to the fundamental properties of the Wasserstein metric and the DRO formulation, before explaining the theory in detail.

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