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reviewed by Halmos: https://projecteuclid.org/journals/bulletin-of-the-american-mathematical-society/volume-61/issue-3.P1/Review-G-P%C3%B3lya-Mathematics-and-plausible-reasoning/bams/1183519731.full
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Most of the more popular probabilistic programming languages have implementations of variational inference (VI). As such, it's absence in monad-bayes is something of an obstacle to real-world use.
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Have a flag to or variant of mh-query and rejection-query that makes a histogram of samples and updates it on each sample. This can be done by extending probabilistic-js inference routines to take a l…
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> Yes, I think I need a bit of guidance here what typical nomenclature and conventions are. It's certain that we need some kind of importance function (is that the right name?), because exact equality…
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- [x] Create Model class
- [x] Interface with RVO library
- [x] Test multi-simulation RVO Wrapper methods.
- [ ] Test virtual environment setup.
- [x] Setup parallelization: parfor simulation loops (R…
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I am using the same model as in #195 (closed; thank you!), but attempting to use MCMC rather than VI.
(Note that I can successfully run the sample notebook MCMC-logregression.ipynb)
```
MC = in…
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Regarding unsupervised models such as PCA, kmeans, etc discussed in #44.
I know these are commonly encapsulated within the transformer formalism, but it would do the methodology behind them injusti…
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# Overview
Port PPL
https://en.wikipedia.org/wiki/Probabilistic_programming_language to
Atomese.
# Motivation
Currently, in Atomese, we can only reason about probabilistic
distribution represented b…
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Hey all,
I've been thinking more about how to improve interoperability for Stan and how Stan users
can take advantage of additional performance gains by possibly switching over stan models to be s…
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## Communication
1. Information Extraction and Identification (Named Entity Recognition)
- IOB Tagging
- IOB2 Tagging
2. Grammar Systems/Parsing (Clustering and Mapping)
- Generative met…