Related Issues (20)
- 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
- Implement KronLLLaplace fast functional variance
- Efficient, universal, standalone Jacobian backend HOT 2
- Generic wrapper for Huggingface transformers
- Help with Kronecker-factored Laplace approximation for ResNet HOT 2
- `FullSubnetLaplace.sample()` doesn't use `generator` HOT 2
- `test_gp_kernel` error "fixture 'mocker' not found" HOT 3
- Questions about defining a subnet by disabling gradients HOT 7
- Optimization of prior noise HOT 3
- Rewrite documentation site
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from laplace.