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  Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem

Zhu, J.-J., Jitkrittum, W., Diehl, M., & Schölkopf, B. (2021). Worst-Case Risk Quantification under Distributional Ambiguity using Kernel Mean Embedding in Moment Problem. In 2020 59th IEEE Conference on Decision and Control (CDC 2020) (pp. 3457-3463). Piscataway, NJ: IEEE. doi:10.1109/CDC42340.2020.9303938.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000A-F4B4-7 Version Permalink: https://hdl.handle.net/21.11116/0000-000A-F4B5-6
Genre: Conference Paper

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Locator:
https://doi.org/10.48550/arXiv.2004.00166 (Preprint)
Description:
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OA-Status:
Green

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 Creators:
Zhu, Jia-Jie1, Author           
Jitkrittum, Wittawat1, Author           
Diehl, Moritz2, Author
Schölkopf, Bernhard1, Author           
Affiliations:
1Dept. Empirical Inference, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497647              
2External Organizations, ou_persistent22              

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Free keywords: Abt. Schölkopf
 Abstract: -

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Language(s): eng - English
 Dates: 2021-01-112021-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/CDC42340.2020.9303938
BibTex Citekey: zhu20worst
 Degree: -

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Title: IEEE Conference on Decision and Control (CDC 2020)
Place of Event: Jeju Island
Start-/End Date: 2020-12-14 - 2020-12-18

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Title: 2020 59th IEEE Conference on Decision and Control (CDC 2020)
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Piscataway, NJ : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 3457 - 3463 Identifier: ISSN: 0743-1546
ISBN: 978-1-7281-7447-1
ISBN: 978-1-7281-7448-8