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When allowing the submission of sampling algorithms that do not ensure t-wise coverage, we need to be able to compute the percentage of t-wise interactions being covered.
This is also useful to che…
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### Problem description
I have a dataframe of shape = `(57_887_821, 2)`. I want a sample of 10M rows. Here are the performances of 3 different techniques:
1. `df.sample()`
```
sample = df.sample…
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de Jong has a fast algorithm for sampling x from the conditional distribution.
There are better algorithms for the unconditional distribution too.
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Congratulations on your paper! While I was looking through it, I was disappointed to see that my efforts on GPU accelerated Layer-Neighbor Sampling were neither mentioned nor cited in your paper.
I…
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Support for additional OPE algorithms such as weighted importance sampling, doubly robust.
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**Is your feature request related to a problem? Please describe.**
This isn't a big deal, but now that we have multiple sampling algorithms, it would be nice if we could condense the syntax for speci…
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I'm adding cascaded shadow maps to my own project, and I'd be open to contribute an implementation back to three-d, but I'm not spotting a great way to plug new shadow map backends into the existing l…
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Add progress bar for cluster algorithms. Try to improve performance of GMM by sampling less when creating training set for fitting. Maybe allow users to select sample resolution.
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**Ideas for modules:**
- [ ] Sampling Algorithms (based in 2020 SPSS and Yves Tillé book).
- [ ] Survey Design
- [ ] Survey Analysis
- [ ] Survey Documentation
** Package Administration…
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# URL
- https://arxiv.org/abs/2406.16838
# Affiliations
- Sean Welleck, N/A
- Amanda Bertsch, N/A
- Matthew Finlayson, N/A
- Hailey Schoelkopf, N/A
- Alex Xie, N/A
- Graham Neubig, N/A
-…