Corpus ID: 201668785

Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin

@article{Diakonikolas2019NearlyTB,
title={Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin},
author={Ilias Diakonikolas and D. Kane and Pasin Manurangsi},
journal={ArXiv},
year={2019},
volume={abs/1908.11335}
}
• Published 2019
• Computer Science, Mathematics
• ArXiv
• We study the problem of {\em properly} learning large margin halfspaces in the agnostic PAC model. In more detail, we study the complexity of properly learning $d$-dimensional halfspaces on the unit ball within misclassification error $\alpha \cdot \opt_{\gamma} + \eps$, where $\opt_{\gamma}$ is the optimal $\gamma$-margin error rate and $\alpha \geq 1$ is the approximation ratio. We give learning algorithms and computational hardness results for this problem, for all values of the… CONTINUE READING

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