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Hi
I am a research assistant and I have been working on deep bayesian active learning for the past few weeks. I have been using pytorch and custom active learning classes so far, and i just found o…
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### Subject of the issue
I would like to point out an issue in the documentation where Parameterizing with continuous variables is described. The documentation only shows how to specify ContinuousFac…
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The current method of storing all nonzero outcomes simply won't scale. We'll need to implement a distribution based on Bayesian networks, queries via belief propagation.
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References:
http://papers.nips.cc/paper/2172-vibes-a-variational-inference-engine-for-bayesian-networks.pdf
http://www.jmlr.org/papers/volume6/winn05a/winn05a.pdf
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I wanted to do Bayesian parameter estimation for Bayesian networks. I found that section in your book in chapter 5. But it seems there are some flaws in it.
1.) I do not find a way to specify priors…
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The _Interchange Format for Bayesian Networks_ (BIF) is commonly used as an interchange format, like the UAI.
We need an implementation of at least a parser for this format.
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We (at Maastricht) have developed a number of federated learning algorithms in the past year incl. logistic regression, Bayesian Networks, Cox PH, SVM, ...). Making these mature, with easy configurati…
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I'm developing a package with Django 1.11 which depends on django-dag.
There are 2 models in the app depending on dag:
```
class BayesianNetworkEdge(
edge_factory('bayesian_networks.Baye…
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Maximizing the expected log posterior density (ELPD) is a common objective function in Bayesian inference and Bayesian neural networks, and I'd be interested in having it as a loss function for a pack…
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In file Active-Learning-Bayesian-Convolutional-Neural-Networks/ConvNets/active_learning/BCNN_cifar10.py , the architecture of the model is still a CNN, rather than a BCNN. Besides, the training method…