Alleviating label switching with optimal transport

Alleviating label switching with optimal transport

© 2019 Neural information processing systems foundation. All rights reserved. Label switching is a phenomenon arising in mixture model posterior inference that prevents one from meaningfully assessing posterior statistics using standard Monte Carlo procedures. This issue arises due to invariance of...

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Bibliographic Details
Main Authors: Monteiller, Pierre, Claici, Sebastian, Chien, Edward, Mirzazadeh, Farzaneh, Solomon, Justin, Yurochkin, Mikhail
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Format: Article
Language:English
Published: 2022
Online Access:https://hdl.handle.net/1721.1/137353.2

Internet

https://hdl.handle.net/1721.1/137353.2

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