ReactiveBayes / ReactiveBayes/ExponentialFamilyProjection.jl
Reparametrization with exponential map instead of control variate
Nobody has claimed this yet.
- Dominant language
- Julia
- Stars
- 11
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
As discussed with @Nimrais, we might speed up projections if we utilize exponential map to reparameterize the gradient to reduce variance instead of control variate strategy.
Contributor guide
No contributing guide indexed for this repository
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
No file or test is named; start by locating the projection path and its current control-variate strategy in the Julia library. Compare the proposed exponential-map reparameterization for projection speed and gradient variance, and treat the work as done when the new approach and its evaluation are defined.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100