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Markus is working on a paper that documents the algorithm implemented in varInferenceStack, we should add that reference to the documentation once it is on Arxiv/in a journal
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This *may* not be the best framework for it, but it would be a good exercise to see how it looks compared to competing frameworks, e.g. Keras, Edward.
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there are a couple of unsolved problems and enhancements for NPSE:
### MAP
MAP is using the score directly for doing gradient ascent on the posterior to find to MAP. this is currently not working…
janfb updated
2 weeks ago
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Hi,
I have little knowledge on DP. However, I used the code to estimate the density of some mixtures and try to get the mixture components, It seems that the algorithm produces different resul…
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There are variational parameters VAR_MAXITER and VAR_THRESH that guide convergence of LDA inference (both during training and document transformations).
Currently they are set to a magic value which…
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I have been trying out your software for feature selection on a neuroimaging dataset. The input data is of dimensions 42 x 300 (eventually I want to work with more predictors, but I am currently testi…
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We should add a *step-by-step* example of how to use Blackjax to sample Gaussian Processes models. Part of a series of tutorials that show how Blackjax integrates with the broader JAX ecosystem.
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I am training a LinearRegression with 2 trainable weights and 3 trajectories. There are no problems when I use variational inference to solve the problem independently for the 3 trajectories, but when…
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Please elaborate upon these:
1) In both v1 and v3 archive versions of the paper the KL divergence is being mentioned as the loss in equation (3) (either directly (V3) or indirectly (V1: Cross-Entro…