A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data

Ricardo Pio Monti, Aapo Hyvärinen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Original languageEnglish
Title of host publicationUncertainty in Artificial Intelligence : Proceedings of the Thirty-Fourth Conference (2018)
EditorsAmir Globerson, Ricardo Silva
Number of pages10
Place of PublicationOregon
PublisherAUAI Press
Publication date6 Aug 2018
Pages300-309
ISBN (Print)978-0-9966431-3-9
Publication statusPublished - 6 Aug 2018
MoE publication typeA4 Article in conference proceedings
EventConference on Uncertainty in Artificial Intelligence - Monteray, United States
Duration: 6 Aug 201810 Aug 2018
Conference number: 34
http://auai.org/uai2018/accepted.php

Fields of Science

  • 113 Computer and information sciences

Cite this

Monti, R. P., & Hyvärinen, A. (2018). A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data. In A. Globerson, & R. Silva (Eds.), Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference (2018) (pp. 300-309). Oregon: AUAI Press.
Monti, Ricardo Pio ; Hyvärinen, Aapo. / A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data. Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference (2018). editor / Amir Globerson ; Ricardo Silva. Oregon : AUAI Press, 2018. pp. 300-309
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Monti, RP & Hyvärinen, A 2018, A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data. in A Globerson & R Silva (eds), Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference (2018). AUAI Press, Oregon, pp. 300-309, Conference on Uncertainty in Artificial Intelligence, Monteray, United States, 06/08/2018.

A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data. / Monti, Ricardo Pio; Hyvärinen, Aapo.

Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference (2018). ed. / Amir Globerson; Ricardo Silva. Oregon : AUAI Press, 2018. p. 300-309.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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T1 - A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data

AU - Monti, Ricardo Pio

AU - Hyvärinen, Aapo

PY - 2018/8/6

Y1 - 2018/8/6

KW - 113 Computer and information sciences

M3 - Conference contribution

SN - 978-0-9966431-3-9

SP - 300

EP - 309

BT - Uncertainty in Artificial Intelligence

A2 - Globerson, Amir

A2 - Silva, Ricardo

PB - AUAI Press

CY - Oregon

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Monti RP, Hyvärinen A. A Unified Probabilistic Model for Learning Latent Factors and Their Connectivities from High-Dimensional Data. In Globerson A, Silva R, editors, Uncertainty in Artificial Intelligence: Proceedings of the Thirty-Fourth Conference (2018). Oregon: AUAI Press. 2018. p. 300-309