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### Describe the issue:
There are a couple of issues with the current design:
i) The keys of `start` and `start_sigma` are inconsistent as can be seen in example below.
ii) I can specify arbitrar…
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## 🚀 Feature
It would be quite useful to have the general ability, to compute a 'detached' `log_prob` for any distribution; i.e. blocking all gradient computation w.r.t that distribution's parameters…
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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'm new to Edward. Following the tutorial at http://edwardlib.org/tutorials/unsupervised.
The example is in Gibbs, and I wanted to modify for a Variational version. Looking to get a hand from more w…
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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 should be an argument `latent_vars` to `update()`, which is a list of the latent variables to update. by default, `update()` updates all of the latent variables.
+ for example, this enables man…
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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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Hi Mirwaes
I’m using the python code in github:
scLDA - Fast variational Bayes inference for Latent Dirichlet Allocation
I am fairly new to topic models and am trying to figure out what method / at…
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This is a preliminary task for the http://www.shogun-toolbox.org/page/Events/gsoc2014_ideas#variational_learning project
Since we will be adding some inference methods to the existing GP infrastructu…
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### Description of feature
### Algorithm/tool short description
> estimate the most probable HLA alleles at full (8-digit) resolution from whole-genome sequence data. HLA-VBSeq simultaneously opti…