Edward example code Mixture
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Building a model to predict a proportion/probability given multiple rows/groups and potentially multiple trials per candidate
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Getting started
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Status of Edward given Edward2 / TensorFlow Probability
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Edward for Sequential Importance Resampling Particle Filter
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First Edward program
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Suitable Distribution for variance as a Hyperprior
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q()=PointMass() in ed.KLqp
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KLqp with Beta/Bernoulli (Coin Flip example)
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Examples/bayesian_nn.py
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Only inferencing partial latent variables
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Update Edward to TF 1.9?
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Question about composing inferences
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Simple Bayesian Network/ Sprinkler example
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Implicit model inferences example
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Edward = Probabilistic Programming Language on Tensor Flow?
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HMM Implementation with Marginalized Latent States
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L2 regularization of weights
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Practical experiences using ADVI training Bayesian neural network
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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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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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Tensorflow NaN loss during training: trying to reshape logits and labels
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RelaxedOneHotCategorical in Edward
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