Web: http://arxiv.org/abs/2107.00068

Jan. 24, 2022, 2:11 a.m. | Zixiu Wang, Yiwen Guo, Hu Ding

cs.LG updates on arXiv.org arxiv.org

In many machine learning tasks, a common approach for dealing with
large-scale data is to build a small summary, {\em e.g.,} coreset, that can
efficiently represent the original input. However, real-world datasets usually
contain outliers and most existing coreset construction methods are not
resilient against outliers (in particular, an outlier can be located
arbitrarily in the space by an adversarial attacker). In this paper, we propose
a novel robust coreset method for the {\em continuous-and-bounded learning}
problems (with outliers) which …

arxiv learning outliers

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