Aug 18, 2025 · Forum For Pyro Developers

Apr 28, 2025 · Hello Pyro community, I’m trying to build a Bayesian CNN for MNIST classification using Pyro, but despite seeing the ELBO loss decrease to around 10 during training, the model’s predictive …

Nov 30, 2020 · Initially, Pyro seemed to provide all that and above all a very detailed documentation with many examples. However, for above stated reasons, the implementation of a simple Stochastic …

Sep 18, 2023 · pyro provides access to the pytorch schedulers, and the pyro ClippedAdam also has a specific learning rate decay parameter. I can not find anything of the sort in numpyro, however, or …

Jan 10, 2021 · Hello I was wondering if it’s possible to parallelize the number of particles used to estimate the ELBO over multiple GPUs (i.e. num_particles=40, and if we have 4 GPUs, then each …

Jul 6, 2022 · I cannot differentiate the usages between pyro.sample and pyro.param. Could you please give an example of simple discrete bayesian network where each node is categorical and it has only …

May 9, 2022 · Hi all, I’ve read a few posts on the forum about how to use GPU for MCMC: Transfer SVI, NUTS and MCMC to GPU (Cuda), How to move MCMC run on GPU to CPU and Training on single …

Nov 1, 2024 · Hi, I’m working on a model where the likelihood follows a matrix normal distribution, X ~ MN_{n,p} (M, U, V). I’m using conjugate priors: M ~ MN U ~ Inverse Wishart V ~ Inverse Wishart As …

Nov 7, 2018 · Usually you’d use fixed “prior” parameters in the model and learnable “posterior” parameters in the guide, and only the learnable parameters would require pyro.param statements.

Oct 15, 2023 · I am running NUTS/MCMC (on multiple CPU cores) for a quite large dataset (400k samples) for 4 chains x 2000 steps. mcmc.run actually ran until the end, but then died with an out-of …