Related Issues (20)
- Efficient LLLA predictive samples
- Support for `torchtune`'s models and datasets
- Conform to PyTorch convention in the loss HOT 1
- Cache features in LLLA with MC predictive HOT 1
- Generalized dict-input mechanism
- Add example & doc for reward modeling functionality
- Handle feature reduction properly in LLLA
- Adding prior precision in `KronLaplace` is broken
- Support for structured Kronecker factors HOT 1
- Fast `KronLLLaplace` joint predictive
- Handle logits with more than 2 axes in `torch.func` diag and full backends
- Fix all linting issues and format all files with `ruff`
- Prior precision and prior mean of `LLLaplace` are hardcoded HOT 2
- `torch.func` jacobian OOM HOT 2
- subnetwork with Kronecker covariance HOT 6
- Mismatching pip installation and website documentation? HOT 5
- Fit function of FullLLLaplace runs slower in Github version in comparison to pip version HOT 8
- RunningNLLMetric returns infinite when running optimize_prior_precision HOT 3
- FeatureExtractor and Python <3.11 HOT 1
- Add "Contributing" section to README HOT 3
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