Evaluating Edward models continuously after each update (1)
NaNs produced in output (1)
How to implement implicit likelihood model in Edward? (1)
Variance of the gradient (1)
Multidimensional MDN (4)
Multiple features in Mixture Density Networks Tutorial (1)
Plan for Hierarchical Variational Model? What is Edward inferring when there is hyperprior in linear regression? (2)
Issue about SGHMC using mini-batch (1)
Why CPU has a better performance than GPU? (7)
Hierarchical Dirichlet Model (2)
Prediction or Criticism of the model mean() (6)
Assertion Error running Dustin's Coin Flipping Toy Example (2)
Variational Distribution for hierarchical model (2)
What is your reason to replace ADVI over Laplace? (1)
Any tutorials on MCMC? (4)
Questionnaire for making bayesian network (1)
Epistemic uncertainity using Edwards (1)
Implementing Linear regression with Automatic Relevance Determination (1)
KLqp underline implementation (3)
Feedback request. I implemented the first example on Probabilistic programming for hackers: Inferring behaviour from text message data (1)
Iterative estimators ("bayes filters") in Edward? (6)
Why the model is inverted when using variational inference? (1)
Scaling batch inference when batch size varies (1)
Multinomial on convolutionnal model returns nans (equivalent code with Pyro) (2)
A little example on Dirichlet/Multinomial inference (2)
Implementing LDA in edward (3)
Hierarchical Logistic Regression (or Neural Network) (2)
Gaussian mixture model (Dirichlet process) (1)
Neural Network link function (2)
Sampling from the prior of a gaussian process (1)