Multi-task Learning for aggregated data using Gaussian processes

Yousefi, F., Smith, M.T. and Alvarez Lopez, M. orcid.org/0000-0002-8980-4472 (2019) Multi-task Learning for aggregated data using Gaussian processes. In: Wallach , H., Larochelle, H. , Beygelzimer, A. , d'Alché-Buc, F., Fox, E. and Garnett, R. , (eds.) Proceedings of the conference on Advances in Neural Information Processing Systems (NIPS 2019). Advances in Neural Information Processing Systems (NeurIPS), 08-14 Dec 2019, Vancouver, Canada. Electronic Proceedings of the Neural Information Processing Systems Conference, 32 . Neural Information Processing Systems Foundation, Inc. .

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Neural Information Processing Systems Foundation.
Dates:
  • Accepted: 3 September 2019
  • Published: 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Engineering and Physical Science Research Council (EPSRC)EP/N014162/1; EP/R034303/1
Depositing User: Symplectic Sheffield
Date Deposited: 29 Oct 2019 15:25
Last Modified: 26 Jun 2020 16:48
Published Version: https://papers.nips.cc/book/advances-in-neural-inf...
Status: Published online
Publisher: Neural Information Processing Systems Foundation, Inc.
Series Name: Electronic Proceedings of the Neural Information Processing Systems Conference
Refereed: Yes
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