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Hi there,
I wonder how to pass all tests.
That is the output
### Test Summary: | Pass Error Total
#### Turing …
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I'm trying to use GPyTorch for COVID-19 prediction by training a deep GP. Let's say I'm trying to predict daily deaths in C counties for the next N days, and I have the following time series as predi…
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Would there be any interest in having a class of distance metrics for Probability Distributions?
An example could be like the very-pseduo code in [this jupyter notebook](https://github.com/bhargavvad…
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Please add some more examples on doing variational inference in tensorflow probability, including ADVI and BBVI.
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The idea is simple to implement and well-scoped as part of TF Distributions. I personally like the idea of even having it be the default for Gamma, Beta, and others. The gradient implementations may b…
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Dear Hao and Sudha,
Can you help us out here? I appreciate you must be really busy but there isn’t long until the workshop and a number of the papers (extended abstracts) are missing from the REPL4…
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Hi,
In the example notebook for Contextual Topic Modeling, we can get topic distribution for a document via
`distribution = ctm.get_thetas(training_dataset)[8] # topic distribution for the first do…
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https://turing.ml/dev/tutorials/9-variationalinference
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## 🚀 Feature
Many users are surprised that `Distribution` objects are not `nn.Module`s, and that updating input parameters does not change a distribution. This issue aims to explain the current state…
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Hi All,
I have a structural timeseries model, where, for business reasons, I would like to constrain the LinearRegression component to have positive coefficients. I tried to use the weights_prior a…