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Thanks for sharing, but I want to know why VAE's Test Lower Bound on the MNIST dataset can reach -79.4? In the original paper (Variational Inference with Normalizing Flows), when K=20, the value of Te…
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Also allow for Y to be continuous in [0, 1]; in this case the optimization would be through loss minimization and not through variational inference. Note that we still want the sigmoid to be applied a…
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Using mini-batches with ADVI might be an efficient solution to local minima. Test it on the smoothly broken power law. If it works, add it to the demo in your existing branch. We might make it a gener…
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When running the code in the following blog
https://github.com/tensorflow/probability/blob/main/tensorflow_probability/examples/jupyter_notebooks/Structural_Time_Series_Modeling_Case_Studies_Atmosp…
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I have just read the paper and moved into the source code. I was wondering what they are "psi", "H", "iw", and "vec", "star"
Could you kindly provide a explanation?
Thank you very much!! :)
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Following the [2017 TensorFlow Dev Summit](https://events.withgoogle.com/tensorflow-dev-summit/#content), here is an outline of Edward going forward at least for Spring 2017. Of course, comments are …
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### Metadata
- Authors: Yarin Gal & Zoubin Ghahramani
- Organization: University of Cambridge
- Conference: ICML 2016
- Paper: https://arxiv.org/pdf/1506.02142.pdf
- Appendix: https://arxiv.org/p…
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https://github.com/blei-lab/edward/blob/master/examples/probabilistic_pca_subsampling.py shows how to do minibatch inference with latent state per sample, for variational inference methods. This is po…
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Link: [Arxiv](https://arxiv.org/pdf/1907.04202.pdf)
Problem:
> Probabilistic ensembles with trajectory sampling (PETS) is a leading type of MBRL, which employs Bayesian inference to …
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## 🚀 Feature
Like the gamma distribution, the inverse Gaussian distribution is also implicitly re-parameterizable.
## Motivation
This distribution can be used in variational inference such a…