KLqp underline implementation
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Feedback request. I implemented the first example on Probabilistic programming for hackers: Inferring behaviour from text message data
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Iterative estimators ("bayes filters") in Edward?
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Why the model is inverted when using variational inference?
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Scaling batch inference when batch size varies
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Multinomial on convolutionnal model returns nans (equivalent code with Pyro)
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A little example on Dirichlet/Multinomial inference
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Implementing LDA in edward
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Hierarchical Logistic Regression (or Neural Network)
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Gaussian mixture model (Dirichlet process)
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Neural Network link function
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Sampling from the prior of a gaussian process
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Von Mises distribution
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Factor analysis Example clarification
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Bayesian Neural Network classification
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KLqp with stochastic block model
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Visualizing uncertainty estimation
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The Book of Why
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Any books/resources that shows usage of Edward with Keras?
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Problem with qW.sample()
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Error using RMSProp on GPU
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Edward on Spark?
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Where is VI applied in the real world
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Edward limitations compared to Pyro?
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MCMC not working for basic model
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How to do this basic case thing?
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Which inference method best for logistic regress
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First Commit at GitHub of Quantum Edward
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NaNs in Tensor for model, decreasing learning rate doesn't help
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Loss are NaN when using KLqp or Bayesian by Backpropagation
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