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In aa2008858140fd0a10528c81f63229b6dc70956a, I committed @AlexAntn 's work based on the PRADA probabilistic planner.
It is composed of two software bundles:
1. the actual planner module, planner.exe,…
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**Is your feature request related to a problem? Please describe.**
The OpenTelemetry Python library has support for many default [sampling schemes](https://opentelemetry.io/docs/languages/sdk-confi…
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Thanks for creating this library, it's helped a lot in my work.
Any chance you would consider integrating work such as:
https://github.com/meelgroup/ApproxMC
or
http://fmv.jku.at/yalsat/
?
I …
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**Describe the bug**
[`BayesianPEIsCorrect` test](https://github.com/microsoft/Quantum/blob/8ac8d28959526f7f0f392b27116e8e00fb205d8d/samples/tests/sample-tests/BayesianPETests.qs) fails probabilistic…
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- Compositional Perturbation Autoencoder (CPA): https://github.com/facebookresearch/CPA
- trVAE: https://github.com/theislab/trVAE
- and its successor (?), scarches: https://github.com/theislab/sc…
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Have you considered probabilistic programming for error propagation? Automatic differentiation (together with the delta method from statistics) is pretty nice, too -- and popular courtesy of backpropa…
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- The classic [DF83] paper and some of its classic results.
- Well-calibratedness is weak.
- Refinement.
- A frequentist criterion on beliefs.
- Assumptions:
- Repeatability (it is the s…
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Can anyone tell me the main differences between the two fusion approaches?
What are the strengths / weaknesses of these two options? Or what kinds of scenarios you would use one over another?
…
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I want to code a probabilistic PCA in RTMB and when I run the function `checkconsistency` it looks that I have huge biases.
Here is the code. If anyone can explain me what is happending, I'd be inter…
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The forest-new benchmark (problems `p_10_7` and `p_10_10`) have initial determinized problems that are too hard for hadd / hff. This is likely also present in the sysadmin probabilistic benchmark.