Corpus ID: 229297956

Hardness of Learning Halfspaces with Massart Noise

@article{Diakonikolas2020HardnessOL,
  title={Hardness of Learning Halfspaces with Massart Noise},
  author={Ilias Diakonikolas and D. Kane},
  journal={ArXiv},
  year={2020},
  volume={abs/2012.09720}
}
  • Ilias Diakonikolas, D. Kane
  • Published 2020
  • Computer Science, Mathematics
  • ArXiv
  • We study the complexity of PAC learning halfspaces in the presence of Massart (bounded) noise. Specifically, given labeled examples $(x, y)$ from a distribution $D$ on $\mathbb{R}^{n} \times \{ \pm 1\}$ such that the marginal distribution on $x$ is arbitrary and the labels are generated by an unknown halfspace corrupted with Massart noise at rate $\eta<1/2$, we want to compute a hypothesis with small misclassification error. Characterizing the efficient learnability of halfspaces in the Massart… CONTINUE READING
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