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 (Author), Claici, Sebastian (Author), Chien, Edward (Author), Mirzazadeh, Farzaneh (Author), Solomon, Justin (Author), Yurochkin, Mikhail (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), MIT-IBM Watson AI Lab (Contributor)
Format: Article
Language:English
Published: 2022-01-03T16:40:50Z.
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