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  4. Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments

Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments

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Author(s)
Chen, Sitan
•
Li, Jerry
•
Song, Zhao
Date Issued
June 8, 2020
Publisher
ACM|Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing
Citation
Chen, Sitan, Li, Jerry and Song, Zhao. 2020. "Learning Mixtures of Linear Regressions in Subexponential Time via Fourier Moments."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
https://hdl.handle.net/1721.1/146232
DOI of Published Version
https://doi.org/10.1145/3357713.3384333
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