Trust-region variational inference with gaussian mixture models
| dc.contributor.author | Arenz, Oleg | |
| dc.contributor.author | Zhong, Mingjun | |
| dc.contributor.author | Neumann, Gerhard | |
| dc.contributor.institution | University of Aberdeen.Computing Science | en |
| dc.contributor.institution | University of Aberdeen.Machine Learning | en |
| dc.contributor.institution | University of Aberdeen.Centre for Energy Transition | en |
| dc.date.accessioned | 2024-04-30T12:41:02Z | |
| dc.date.available | 2024-04-30T12:41:02Z | |
| dc.date.issued | 2020-09-01 | |
| dc.description.status | Peer reviewed | en |
| dc.format.extent | 60 | |
| dc.format.extent | 4568703 | |
| dc.identifier | 281620729 | |
| dc.identifier | 2157128a-f85d-4215-8373-e1d0d5d25803 | |
| dc.identifier | 85094921991 | |
| dc.identifier.citation | Arenz, O, Zhong, M & Neumann, G 2020, 'Trust-region variational inference with gaussian mixture models', Journal of Machine Learning Research, vol. 21, no. 1, pp. 1-60. https://doi.org/10.5555/3455716.3455879 | en |
| dc.identifier.doi | 10.5555/3455716.3455879 | |
| dc.identifier.iss | 1 | en |
| dc.identifier.issn | 1532-4435 | |
| dc.identifier.other | ORCID: /0000-0002-1525-1270/work/143413504 | |
| dc.identifier.uri | https://hdl.handle.net/2164/23375 | |
| dc.identifier.url | http://www.scopus.com/inward/record.url?scp=85094921991&partnerID=8YFLogxK | en |
| dc.identifier.vol | 21 | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Journal of Machine Learning Research | en |
| dc.subject | Approximate inference | en |
| dc.subject | Markov chain monte carlo | en |
| dc.subject | Mcmc | en |
| dc.subject | Policy search | en |
| dc.subject | Sampling | en |
| dc.subject | Variational inference | en |
| dc.subject | Control and Systems Engineering | en |
| dc.subject | Software | en |
| dc.subject | Statistics and Probability | en |
| dc.subject | Artificial Intelligence | en |
| dc.title | Trust-region variational inference with gaussian mixture models | en |
| dc.type | Journal article | en |
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