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# Likelihood-Free Inference Toolbox
Development of a common framework for likelihood inference based on a probabilistic programming language.
Contacts: @EiffL
Participants: @jan-matthis @hpeso…
EiffL updated
5 years ago
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# Repository Creation Request
1. ## Coordinating Institute: _Indian Institute of Technology Kharagpur_
2. ## Virtual Lab Name: _Soft Computing Tools in Engineering_
3. ## _Phase II re-hosting req…
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Hi, first, I must recognize that it is an excellent paper. I reached this because I've been stuck trying to perform the inference and draw the unknown objects for at least two weeks.
By reviewing th…
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Currently, we only allow queries of the form ?-a that return the answer.
It can be useful to have other type of queries, such as MAP inference, Probabilistic Plannning (MDP/POMDP, Influence Diagrams)…
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I implemented the [CNF example](https://docs.kidger.site/diffrax/examples/continuous_normalising_flow/) and added it as a head to a transformer to do inference over some continuous variables in a prob…
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## Related Reference
- Goodfellow I, Bengio Y, Courville A. [Deep learning]().
- Bishop C M, Nasrabadi N M. [Pattern recognition and machine learning]().
- Murphy K P. [Machine learning: a proba…
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The current implementation of inference supports inferences from joint probability distributions only when all the variables occur in the same junction tree clique. This limitation stems from the fa…
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I'm not super into the `OpenPP` name. How about calling this `Probabilistic.jl`?
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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…