On the robust learning mixtures of linear regressions

Huang, Ying, Chen, Liang

arXiv.org Artificial Intelligence 

In this note, we consider the problem of robust learning mixtures of linear regressions. We connect mixtures of linear regressions and mixtures of Gaussians with a simple thresholding, so that a quasi-polynomial time algorithm can be obtained under some mild separation condition. This algorithm has significantly better robustness than the previous result.

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