Variational Distribution for hierarchical model (1)
Bayesian Network inference using Edward (4)
Edward and Julia (1)
Credible intervals remain constant (1)
Mutlivariate analysis using Linear Mixed Effects Models (1)
Problem with KLqp inference for Poisson distribution (4)
Cholesky decomposition issue when learning covariance matrices (5)
Gaussian Process Regression, sampling new data points from the predictive posterior (4)
Passing var_list parameter in klqp inference (2)
Bernoulli distribution parameterized by a mapped Gaussian (12)
Biased variance estimates when using KLqp for Bayesian Linear Regression (8)
From PyMC3 to Edward, graph a->y<-b with all variables categoricals (1)
Unrelated variable definitions affecting fit performance (2)
Dirichlet Process Mixture Models (DPMM) with hierarchical structure (5)
Metropolis-Hastings inference of local variables (1)
Gaussian mixture with covariance matrix via klqp method (5)
Convolutional variational auto-encoder for binarized MNIST (1)
Trying to understand different shape parameters (4)
Implementation of ZIP model in Edwards (8)
Very slow model creation (2)
Matrix factorization - recovering latent factors (2)
Gaussian Mixture Prior VAE (5)
Why my KLqp cannot infer good parameters on simple iris regression task (1)
Test gan and implicitKLqp on BNN (2)
How to implement self-defined metric/loss function? (6)
"Neural Networks" example doesn't work (3)
Visualizing 2D latent space of VAE example (5)
Inference in mixture models containing transformations (3)
Press: "Google and Others Are Building AI Systems That Doubt Themselves" (2)
Quantum Edward? (1)