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Sometimes, KDE tends to oversmooth the PDF, which introduces bias in the estimated PDF. Inverse-transform sampling doesn't have this issue, but it is usually implemented in 1D. This package extends it…
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A potentially helpful notebook to include here is a notebook which illustrates the concept of sampling bias. This notebook will present the issues and leave solving them to be dealt with elsewhere.
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7yl4r updated
2 years ago
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### Expected Behavior
Run the inference
### Actual Behavior
The error appears at the moment of XlabsSampler processing
### Steps to Reproduce
1
### Debug Logs
```powershell
# Com…
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Our hero wavelength approach has a bias which lets the whitefurnance test or an empty scene with D65 environment illuminant return a value close to 0.9 instead of 1. This may resolve at very high spp,…
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Hello,
I am using Hmsc with opportunistic data (mainly from GBIF; the model does not employ trait info). As expected, the data shows signs of sampling bias. I only used presence-(?)absence informat…
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Hi,
I ran a simple simulation to assess IVON's performance in recovering confidence intervals with appropriate coverage. Its a simple linear regression problem, which you will find below.
```
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I already fixed quite a few bugs in `thin_observations` and streamlined the code which should make moving forward easier (14b2e52790a0be65fe7e98d54164e2ab3f19bbf3).
Further improvements:
1. Use …
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### Question Validation
- [X] I have searched both the documentation and discord for an answer.
### Question
Is there a documented way to configure logit_bias paramter for chat engines?
The par…
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just wondering if packing in this way could represent a bias in the aggregated batches (across all GPUs) when compared to simple random sampling. Ideally you want the probability of any sample being i…
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Because of the boundary constraints on the motor/sensory dimension, the sampling of a new motor/sensory command/goal is biased with increase probability to sample a point at the boundary.
This is d…