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I'd suggest the following replacement for the start of the top-level `README.md`. My motivation in rewriting is to
* elminate redundancy,
* write in more direct sentences directed at the user,
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This should help me understand more general case. See [Coordinate Ascent Mean-field Variational Inference (Univariate Gaussian Example)](https://suzyahyah.github.io/bayesian%20inference/machine%20lear…
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Less of an issue and more of a question, but is there any way to use simulation estimators to do MLE instead of a fully Bayesian approach? In particular, SNLE which shouldn't have serious implementat…
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Hi there,
first of all thank you for your work! This is great!
Disclaimer: i don't know much about SDE, but i would love to make use of neural sde, since i have some use cases that i think could…
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Hi,
I am relatively new to variational inference and so far my understanding has been that the trend/research in this space is to invent inference algorithms/mechanics such that one does not have t…
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#### Summary:
The `cmdstanpy.CmdStanModel.sample()` does not provide the profiling.csv file that cmdstan generates
#### Description:
When running cmdstan through the cmdstanpy API, I cannot see…
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Hi scVI team!
I am wondering if you are planning any interoperability with pyro to simplify implementing complex hierarchical priors? Maybe you have other ideas of simplifying that? I would like to…
vitkl updated
3 years ago
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System.Exception: 'Java.Lang.IllegalArgumentException: Internal error: Failed to run on the given Interpreter: tensorflow/lite/kernels/transpose.cc:56 op_context->perm->dims->data[0] != dims (3 != 2)
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Can you explain the internal working of ZeroShotTm as it doesn't uses BOW approach . The paper didn't highlighted about the ZeroShotTm . How does the topic get derived? And how does it predict for un…
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Feature request for adding Bayesian ConvNets.
As per the abstract from [Bayesian Convolutional Networks with Bernoulli Approximate Variational Inference](http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015…