What is q_log_prob?
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Implementation of beta binomial likelihood
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Install Edward in CentOS7,but it does work
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q()=PointMass() in ed.KLqp
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L2 regularization of weights
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Edward/examples/normal_sgld.py
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Rule of thumb in choosing n_samples
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Implementing LDA using KLqp
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Question about criticism code in the Mixture models tutorial, computing the posterior inference of cluster indexes
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Modify Bayesian Linear Model to use Gibbs, but got NotImplementedError
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Contributing on GPs
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Suitable Distribution for variance as a Hyperprior
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Tensorflow NaN loss during training: trying to reshape logits and labels
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RelaxedOneHotCategorical in Edward
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Update Edward to TF 1.9?
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KLqp with Beta/Bernoulli (Coin Flip example)
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KLqp disturbed by irrelevant distribution?
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Understanding Edward KLqp algorithm
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Definition of Turing Complete PPL
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Evaluating Edward models continuously after each update
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NaNs produced in output
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Practical experiences using ADVI training Bayesian neural network
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How to implement implicit likelihood model in Edward?
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Variance of the gradient
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Multidimensional MDN
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Multiple features in Mixture Density Networks Tutorial
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Plan for Hierarchical Variational Model? What is Edward inferring when there is hyperprior in linear regression?
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Issue about SGHMC using mini-batch
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Why CPU has a better performance than GPU?
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Hierarchical Dirichlet Model
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(2)
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