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status: openNo solution for this issue has been providedNo solution for this issue has been providedtopic: iteratorIssue/PR related to the iteratorsIssue/PR related to the iteratorstype: usabilityIssue/PR to improve usabilityIssue/PR to improve usability
Description
Description of the Issue:
In our variational inference iterator, we currently only support initializing the variational parameters randomly or from the prior. The latter is only possible for mean-field normal and full-rank normal distributions.
Proposed Solution:
We also need the possibility to manually pass the initial variational parameters, which allows a lot more flexibility. This approach could either replace or expand the current initialization strategies.
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Related Issues:
Compare the discussion in #251
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status: openNo solution for this issue has been providedNo solution for this issue has been providedtopic: iteratorIssue/PR related to the iteratorsIssue/PR related to the iteratorstype: usabilityIssue/PR to improve usabilityIssue/PR to improve usability