Towards a query-optimal and time-efficient algorithm for clustering with a faulty oracle

Peng, P. orcid.org/0000-0003-2700-5699 and Zhang, J. (2021) Towards a query-optimal and time-efficient algorithm for clustering with a faulty oracle. In: Proceedings of the 34th Annual Conference on Learning Theory (COLT 2021). 34th Annual Conference on Learning Theory (COLT 2021), 15-19 Aug 2021, Boulder, Colorado. Proceedings of Machine Learning Research (134). PMLR

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Item Type: Proceedings Paper
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© 2021 The Authors and PMLR. This is an author-produced version of a paper subsequently published in Proceedings of Machine Learning Research, Volume 134 (COLT 2021).
Dates:
  • Published: 7 September 2021
  • Accepted: 14 May 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 29 Jun 2021 07:30
Last Modified: 04 Oct 2021 14:04
Published Version: http://proceedings.mlr.press/v134/
Status: Published
Publisher: PMLR
Series Name: Proceedings of Machine Learning Research
Refereed: Yes
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Open Archives Initiative ID (OAI ID):

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