Add Average Conditional Kernel Inducing Points
Open
enhancement
help wanted
- Dominant language
- Python
- Stars
- 43
- Forks
- 6
- Avg merge
- 3d 22h
- Merged PRs (30d)
- 10
Description
### What's the new feature?
Subticket of #1104 , add the conditional inducing point algorithm from https://arxiv.org/abs/2504.10139
### What value does this add?
Has been shown to outperform joint methods on conditional downstream tasks.
### Is there an alternative you've considered?
_No response_
### Additional context
_No response_
Contributor guide
Research direction
Start with the parent issue #1104 and read the linked paper describing the conditional inducing point algorithm. The issue names no files, entry points, tests, or concrete acceptance checks; completion would require adding the algorithm and establishing how its conditional downstream performance should be validated.
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