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Adversarial classification via distributional robustness with Wasserstein ambiguity

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Bibliographic Details
Main Authors: Nam Ho-, Nguyen, Stephen J., Wright
Format: Book
Language:English
Published: Springer 2023
Subjects:
distributionally robust chance constraints
Wasserstein ambiguity
Online Access:https://link.springer.com/article/10.1007/s10107-022-01796-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7460
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spelling oai:localhost:PNK-74602023-04-04T01:35:06Z Adversarial classification via distributional robustness with Wasserstein ambiguity Nam Ho-, Nguyen Stephen J., Wright distributionally robust chance constraints Wasserstein ambiguity CC BY We study a model for adversarial classification based on distributionally robust chance constraints. We show that under Wasserstein ambiguity, the model aims to minimize the conditional value-at-risk of the distance to misclassification, and we explore links to adversarial classification models proposed earlier and to maximum-margin classifiers. We also provide a reformulation of the distributionally robust model for linear classification, and show it is equivalent to minimizing a regularized ramp loss objective. 2023-04-04T01:35:06Z 2023-04-04T01:35:06Z 2022 Book https://link.springer.com/article/10.1007/s10107-022-01796-6 https://dlib.phenikaa-uni.edu.vn/handle/PNK/7460 en application/pdf Springer
institution Digital Phenikaa
collection Digital Phenikaa
language English
topic distributionally robust chance constraints
Wasserstein ambiguity
spellingShingle distributionally robust chance constraints
Wasserstein ambiguity
Nam Ho-, Nguyen
Stephen J., Wright
Adversarial classification via distributional robustness with Wasserstein ambiguity
description CC BY
format Book
author Nam Ho-, Nguyen
Stephen J., Wright
author_facet Nam Ho-, Nguyen
Stephen J., Wright
author_sort Nam Ho-, Nguyen
title Adversarial classification via distributional robustness with Wasserstein ambiguity
title_short Adversarial classification via distributional robustness with Wasserstein ambiguity
title_full Adversarial classification via distributional robustness with Wasserstein ambiguity
title_fullStr Adversarial classification via distributional robustness with Wasserstein ambiguity
title_full_unstemmed Adversarial classification via distributional robustness with Wasserstein ambiguity
title_sort adversarial classification via distributional robustness with wasserstein ambiguity
publisher Springer
publishDate 2023
url https://link.springer.com/article/10.1007/s10107-022-01796-6
https://dlib.phenikaa-uni.edu.vn/handle/PNK/7460
_version_ 1762274896612687872
score 8.893527

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