General


Edward = Probabilistic Programming Language on Tensor Flow? (1)
HMM Implementation with Marginalized Latent States (4)
L2 regularization of weights (3)
Practical experiences using ADVI training Bayesian neural network (5)
What is q_log_prob? (1)
Implementation of beta binomial likelihood (1)
Install Edward in CentOS7,but it does work (1)
Edward/examples/normal_sgld.py (1)
Rule of thumb in choosing n_samples (3)
Implementing LDA using KLqp (1)
Question about criticism code in the Mixture models tutorial, computing the posterior inference of cluster indexes (1)
Modify Bayesian Linear Model to use Gibbs, but got NotImplementedError (1)
Contributing on GPs (1)
Tensorflow NaN loss during training: trying to reshape logits and labels (1)
RelaxedOneHotCategorical in Edward (2)
KLqp disturbed by irrelevant distribution? (1)
Understanding Edward KLqp algorithm (3)
Definition of Turing Complete PPL (1)
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)