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**Submitting author:** @rodluger (Rodrigo Luger)
**Repository:** https://github.com/rodluger/starry_process
**Version:** v0.9.6
**Editor:** @arfon
**Reviewers:** @nespinoza, @j-faria
**Managing EiC:*…
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Hello, I'm trying to use the recently-implemented natural gradient descent to do inference with additional latent variables and non-Gaussian likelihoods through the Pyro integration---essentially, com…
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Hello,
I have seen in the [literature](https://arxiv.org/abs/1803.09151) for GP algorithms that use inducing points and variational inference to perform inference can sometimes converge slowly whe…
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## Bug Description
I'm trying to compile but getting this error:
```
Traceback (most recent call last):
File "test_face.py", line 36, in
generated = model(data_i, mode="inference")
File "ana…
p1x31 updated
2 years ago
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# 🚀 Feature Request
Hello,
Can you please let me any of regression model which is able to propagate the uncertainty of the input.
Thanks,
Anahita
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#### Summary:
The output csv from variational inference is not properly read if eta (stepsize) is not equal to 1.
#### Description:
The line here: https://github.com/stan-dev/cmdstanpy/blob/maste…
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For some reason, naively turning it on didn't work for me in `variational_inference.py`.
```python
tensorboard_cb = tf.keras.callbacks.TensorBoard(log_dir=FLAGS.output_dir,
…
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Hi guys, let me first start off by thanking you guys on working on this project!
The syntax and high level API you guys have put together are the cleanest I've seen to date, and I can't wait to start…
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We currently support PyMC's ADVI implementation, but PyStan now provides easy access to Stan's VI implementation as well (which has the benefit of supporting not just the mean-field but also the full-…