General


Gaussian mixture model (Dirichlet process) (1)
Neural Network link function (2)
Sampling from the prior of a gaussian process (1)
Von Mises distribution (2)
Factor analysis Example clarification (1)
Bayesian Neural Network classification (2)
KLqp with stochastic block model (1)
Visualizing uncertainty estimation (1)
The Book of Why (5)
Any books/resources that shows usage of Edward with Keras? (1)
Problem with qW.sample() (1)
Error using RMSProp on GPU (2)
Edward on Spark? (3)
Where is VI applied in the real world (2)
Edward limitations compared to Pyro? (6)
MCMC not working for basic model (5)
How to do this basic case thing? (2)
Which inference method best for logistic regress (1)
First Commit at GitHub of Quantum Edward (1)
NaNs in Tensor for model, decreasing learning rate doesn't help (1)
Loss are NaN when using KLqp or Bayesian by Backpropagation (3)
Bayesian RNN / GRU for Molecules (4)
Cholesky decomposition of sklearn rbf kernel output works but I get a positive definite error when going by example (2)
Poisson distribution (7)
Resolve logistic regression parameters on simulated data ( 2 ) (21)
State space model inference by HMC (1)
HMM Implementation with Marginalized Latent States (2)
Model distribution for a list of categorical data (1)
Dirichlet process mixture model for multivariate Bernoulli mixture (1)
Bayesian Network inference using Edward (7)