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Earlier today, Google announced TensorFlow Probability: a probabilistic programming toolbox for machine learning. The full text of the announcement is available on [Medium](https://medium.com/tensorfl…
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Could the authors confirm or state if there is a mistake in any of the following statements about the code used for VAE:
**Statement 1**
The output of the `DecoderSamplerLayer` is equal to `z_enc` i…
botev updated
5 years ago
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Hi all,
First of, many thanks for your work, it looks very promising!
I was comparing some simple agents between the current and matlab implementation and noticed that in terms of reversal learn…
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One thing I have always wanted to do is write more tutorials that empirical and theoretical economists can use to inform how they do their research. @trappmartin recently reminded me how much I have w…
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At default, inference methods in GP module will compute gradients wrt model parameters, which is not always necessary.
- offer users an option to ask inference methods do not compute these gradients.
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I would like to contribute Discrete HMM example (borrowing the wiki example of [rainy-sunny](http://en.wikipedia.org/wiki/Hidden_Markov_model)).
I was thinking of priors as follows:
```
theta_start_…
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Firstly, I'm rather new around here; I hope this is the correct place for proposing replacement of algorithms. If it isn't, it would be awful kind of someone to point me in the right direction.
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Sean O'Riordain suggested on stan-users that it would be useful to be able to access the iteration number in a Stan program so that you could write something like this to print `theta` every 100th ite…
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This is part of a larger conversation on the modularity of the Gen project. I’m not in a position to judge whether this is possible - but it seems like a good idea from my small experiences in impleme…