Differentially private regression and classification with sparse Gaussian processes

Smith, M.T., Alvarez, M.A. and Lawrence, N.D. orcid.org/0000-0001-9258-1030 (2021) Differentially private regression and classification with sparse Gaussian processes. Journal of Machine Learning Research, 22. 188. ISSN 1532-4435

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Item Type: Article
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Copyright, Publisher and Additional Information:

© 2021 Michael Thomas Smith and Mauricio A. Álvarez and Neil D. Lawrence. License: CC-BY 4.0, see https://creativecommons.org/licenses/by/4.0/.

Keywords: Gaussian processes; differential privacy; classification; sparse Gaussian processes
Dates:
  • Published: August 2021
  • Published (online): August 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: 19 Dec 2024 10:28
Last Modified: 19 Dec 2024 10:28
Published Version: https://www.jmlr.org/papers/v22/
Status: Published
Publisher: Massachusetts Institute of Technology Press
Refereed: Yes
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Open Archives Initiative ID (OAI ID):

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