Settling the Robust Learnability of Mixtures of Gaussians
Name
3406325.3451084.pdf
Size
733.15 KB
Format
Adobe PDF
Checksum (MD5)
d1b4a0c09d6d1612bbc9a3b6e0f9f029
Author(s)
Liu, Allen
Moitra, Ankur
Date Issued
June 15, 2021
Publisher
ACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
Citation
Liu, Allen and Moitra, Ankur. 2021. "Settling the Robust Learnability of Mixtures of Gaussians."
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
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.
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DOI of Published Version
https://doi.org/10.1145/3406325.3451084
