-
> [!NOTE]
> If you have a request to support a specific method, or would like to see priority of one of the listed methods, please open a separate issue, so it won't get buried in this thread. Base…
-
## What does this issue request?
Add CLI support for two modes of evaluating posterior models, to make it easy to do either of two things:
### 1. Unconditional sampling of synthetic data
The…
-
https://github.com/microsoft/VQ-Diffusion/blob/16dc744405e59ed1833513ebb1db87d6263d38be/image_synthesis/modeling/transformers/diffusion_transformer.py#L244
q_pred(log_x_start, t) is the forward comp…
-
#### Description
I have been using the `uncertainties` package for uncertainty propagation calculations and noticed that it currently only supports symmetric uncertainties. While values expressed a…
-
## Short Description
The latest version of arviz has `constant_data` in the `InferenceData` object. I assume that this is intended to support plotting regressions by allowing us to add predictors …
-
This has to be treated differently for regression and classification but is very similar to the `predictive(..)` currently implemented. Basically `laplace.thompson_sample(x, n_samples=1)` should retur…
-
Hello, I was wondering why we have to clamp the output of x_start from predict_start_from_noise( ) when sampling:
```
def p_mean_variance(self, x, t, clip_denoised: bool):
model_outpu…
-
## Expected Behavior
- Would be nice to have both posterior and prior sampling options from a `BaseRV` object
- Is it even useful to have "uniform" vs "normal" etc variables if they just change afte…
-
My big question is: what's the difference between the count-based scoring here, versus a count-based scoring that takes a weighted average of the proportion-based scores for each unit of analysis (geo…
-
The Pareto Smoothed Importance Sampling $\hat{k}$ diagnostic (as described by [Yao et al. (2018)](https://arxiv.org/pdf/1802.02538)) can be used to determine if a surrogate posterior determined with v…