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Constrained or partitioned inference for Turing models. #2249

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yebai opened this issue Jun 4, 2024 · 0 comments
Open

Constrained or partitioned inference for Turing models. #2249

yebai opened this issue Jun 4, 2024 · 0 comments

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@yebai
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yebai commented Jun 4, 2024

We currently have options to allow users to specify constraints for MAP/MLE optimisation-based learning.

TuringLang/docs#470

It would be interesting to also allow users to specify constraints for MCMC sampling, e.g., each chain is confined to sampling from a partition. Then, the user can merge MCMC samples from different partitions somehow.
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