Filippone, M. and Engler, R. (2016) Enabling scalable stochastic gradient-based inference for Gaussian processes by employing the Unbiased LInear System SolvEr (ULISSE). [Data Collection]
Original publication URL: http://jmlr.csail.mit.edu/proceedings/papers/v37/f...
Datacite DOI: 10.5525/gla.researchdata.279
Related Enlighten Publications
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| College / School: | College of Science and Engineering > School of Computing Science |
| Date Deposited: | 07 Mar 2016 09:54 |
| Enlighten Publications URL: | http://eprints.gla.ac.uk/117111/ |
| URI: | https://researchdata.gla.ac.uk/id/eprint/279 |
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