Sever: A Robust Meta-Algorithm for Stochastic Optimization

international conference on machine learning, 2018.

Cited by: 76|Bibtex|Views43|Links
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Abstract:

In high dimensions, most machine learning methods are brittle to even a small fraction of structured outliers. To address this, we introduce a new meta-algorithm that can take in a base learner such as least squares or stochastic gradient descent, and harden the learner to be resistant to outliers. Our method, Sever, possesses strong theo...More

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