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Balanced Population Stochastic Variational Inference
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. (CVAP)ORCID iD: 0000-0002-8640-9370
(Disney Research)
KTH, School of Computer Science and Communication (CSC), Robotics, perception and learning, RPL. (Datorseende och robotik, CVAP, Computer Vision and Active Perception, CVAP)ORCID iD: 0000-0002-5750-9655
2016 (English)Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2016.
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-197301OAI: oai:DiVA.org:kth-197301DiVA, id: diva2:1051373
Conference
NIPS Workshop on Advances in Approximate Bayesian Inference
Available from: 2016-12-01 Created: 2016-12-01 Last updated: 2024-03-15Bibliographically approved

Open Access in DiVA

fulltext(868 kB)302 downloads
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File name FULLTEXT01.pdfFile size 868 kBChecksum SHA-512
4c5c737ce716d9b1160dadc08c32f2f423e3a30d86781dd43c48eaea78eb3b255bb573912e98adcbc8924dfffb7144762d564430bc946aedc418c93f5e08d848
Type fulltextMimetype application/pdf

Authority records

Zhang, ChengKjellström, Hedvig

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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