Settling the Robust Learnability of Mixtures of Gaussians
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
ACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing
2022
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| Online Access: | https://hdl.handle.net/1721.1/145926 |
| _version_ | 1826212934178570240 |
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| author | Liu, Allen Moitra, Ankur |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Liu, Allen Moitra, Ankur |
| author_sort | Liu, Allen |
| collection | MIT |
| first_indexed | 2024-09-23T15:40:48Z |
| format | Article |
| id | mit-1721.1/145926 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:40:48Z |
| publishDate | 2022 |
| publisher | ACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing |
| record_format | dspace |
| spelling | mit-1721.1/1459262023-06-30T16:18:56Z Settling the Robust Learnability of Mixtures of Gaussians Liu, Allen Moitra, Ankur Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory 2022-10-21T17:04:05Z 2022-10-21T17:04:05Z 2021-06-15 2022-10-20T14:16:14Z Article http://purl.org/eprint/type/ConferencePaper 978-1-4503-8053-9 https://hdl.handle.net/1721.1/145926 Liu, Allen and Moitra, Ankur. 2021. "Settling the Robust Learnability of Mixtures of Gaussians." PUBLISHER_POLICY en https://doi.org/10.1145/3406325.3451084 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. ACM application/pdf ACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing ACM|Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing |
| spellingShingle | Liu, Allen Moitra, Ankur Settling the Robust Learnability of Mixtures of Gaussians |
| title | Settling the Robust Learnability of Mixtures of Gaussians |
| title_full | Settling the Robust Learnability of Mixtures of Gaussians |
| title_fullStr | Settling the Robust Learnability of Mixtures of Gaussians |
| title_full_unstemmed | Settling the Robust Learnability of Mixtures of Gaussians |
| title_short | Settling the Robust Learnability of Mixtures of Gaussians |
| title_sort | settling the robust learnability of mixtures of gaussians |
| url | https://hdl.handle.net/1721.1/145926 |
| work_keys_str_mv | AT liuallen settlingtherobustlearnabilityofmixturesofgaussians AT moitraankur settlingtherobustlearnabilityofmixturesofgaussians |