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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Detalles Bibliográficos
Autores principales:	Monteiller, Pierre, Claici, Sebastian, Chien, Edward, Mirzazadeh, Farzaneh, Solomon, Justin, Yurochkin, Mikhail
Otros Autores:	Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Formato:	Artículo
Lenguaje:	English
Publicado:	2022
Acceso en línea:	https://hdl.handle.net/1721.1/137353.2

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