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[Rezende and Mohamed 2015](https://arxiv.org/abs/1505.05770) is a classic paper on using normalizing flows, rather than e.g. mean-field approximations, for variational inference. Normalizing flows are…
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The `VonMises` distribution sets `.support = constraints.real` but should really set something like a `constraints.circular` or other mod-2-pi constraint. This can be an issue in autoguides which fit …
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Link: [Arxiv](https://arxiv.org/pdf/1805.00909.pdf)
This is one of the important paper that link MBRL with Variational Inference, published in 2018/05
Problem:
> the connection between reinfo…
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Hi ZLeopard,
Thank you for providing this code coupled with your paper Simplex Variational Autoencoder!
Just as a quick note, engine/inference.py is empty, could you provide the inference code?…
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VariationalGaussianProcess layers cause models to raise InvalidArgumentErrors when running with a batch size of 1. This occurs both in model training and inference.
Custom code for replication is …
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It is confusing me that categorical attention with exact evidence sets inference_network_type not Nan.
In my option, categorical attention with exact evidence(Marginal Likelihood) is as follow:
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Kingma, Diederik Pieter. [Variational inference & deep learning: A new synthesis](https://pure.uva.nl/ws/files/17891313/Thesis.pdf).
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**Submitting author:** @homerjed (Jed Homer)
**Repository:** https://github.com/homerjed/sbiax
**Branch with paper.md** (empty if default branch):
**Version:** 0.0.9
**Editor:** Pending
**Reviewers:*…
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Now that a core model set is available, it is time to look to optimize the code to allow for quicker estimation and scalability to larger datasets.
**Model**
- [x] ARIMA models
- [ ] GARCH models
- […
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The (global) re-parametrization trick is described in the paper [Auto-Encoding Variational Bayes](https://arxiv.org/abs/1312.6114). The local re-parametrization trick is described in [Variational Drop…