You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Following #548 discussion, and while we wait for discrete latent variables, it would be nice to have a Gumbel-Softmax categorical approximation as featured in Pyro. Didn't realize this was the name given to Gumbel-Softmax in Pyro, but hopefully replication might be straight-forward?
numpyro (i.e. Jax) seems uniquely suited for problems involving large discrete structures (e.g. networks), so an ability to recover latent discrete variables (or their approximations) would be fantastic!
The text was updated successfully, but these errors were encountered:
Following #548 discussion, and while we wait for discrete latent variables, it would be nice to have a Gumbel-Softmax categorical approximation as featured in Pyro. Didn't realize this was the name given to Gumbel-Softmax in Pyro, but hopefully replication might be straight-forward?
numpyro
(i.e. Jax) seems uniquely suited for problems involving large discrete structures (e.g. networks), so an ability to recover latent discrete variables (or their approximations) would be fantastic!The text was updated successfully, but these errors were encountered: