Replies: 1 comment
-
the MCLMC example works fast on my setup with a 20,000-dimensional problem. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
Hi all,
I'm here as one of the types of users "People who just need state-of-the-art samplers that are fast, robust and well tested".
I'm looking to sample a very high-dimensional posterior (image sized) with the use of some sharding (multi-device) and a log-density function that uses a probabilistic estimate of the log-likelihood. This means I need to pass a
jax.random.PRNGKey
to my log-density call in the sampler.Could I get some pointers on the best samplers for this task, and possibly how to throw in additional
args
to my log-density call in the kernel?Thank you!
Beta Was this translation helpful? Give feedback.
All reactions