Automatic structured variational inference
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enhancement
help wanted
- Dominant language
- Python
- Stars
- 2.8k
- Forks
- 316
- Avg merge
- 3d 9h
- Merged PRs (30d)
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Description
Hey all,
would be nice if there was an implementation of Automatic structured variational inference in NumPyro (unless it is already there and I am not seeing it).
A TFP implementation already exists here. If you think this makes sense, I could give it a try.
Cheers,
Simon
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the linked automatic structured variational inference paper and comparing its requirements with the linked TensorFlow Probability implementation. Define the NumPyro integration surface and verification criteria before implementing; done means the requested inference method is available in NumPyro.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100