Variational Inference for Dirichlet process clustering - Pyro ...
Jan 31, 2018 · Hi there! This is my first time using Pyro so I am very excited to see what I can built with it.🙂 Specifically, I am trying to do finite Dirichlet Process clustering with Variational …
Pyro Discussion Forum
Aug 19, 2025 · Forum For Pyro Developers
AutoGuide For a deep learning MLP Model - Pyro Discussion Forum
Nov 21, 2023 · Hello, I am not sure that I understand well how the AutoDiagonalNormal AutoGuide works. I have a MLP model and I want to do an SVI on this model. Given that my …
Pyro -> numpyro for gaussian inference - Pyro Discussion Forum
Oct 12, 2023 · I’m transitioning some code from pyro to numpyro and I’ve run into an issue with the sqrt function. Below are 2 simple models doing inference of a normal distribution on some …
Question regarding Gaussian mixture model (GMM) using EM …
Apr 6, 2024 · In pyro, it seems that the parameters (theta) for the generative process is defined in a model, while the parameters (phi) for the inference process is defined in a guide. In EM …
Reducing MCMC memory usage - numpyro - Pyro Discussion Forum
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 …
Model low probabilities with Dirichlet - numpyro - Pyro Discussion …
Oct 9, 2021 · I am using dist.Dirichlet() to model probabilities but when looking at the retrodictions after fitting they are not as I expect. I suspect I am doing something fundamentally wrong. …
How to debug loo calculation? - Pyro Discussion Forum
Feb 22, 2023 · Hi everyone, I estimate a hierarchical model on 200 decisions from 300 subjects with 4 types of parameters (with a subject and a condition level) and everything looks great so …
Variational Inference using SVI not converging - Misc. - Pyro ...
Aug 23, 2023 · Hi, I am stuck with a seemingly simple problem. I have a mathematical model composed of various non-linear sums of gaussian distributions (x1, x2, x3, x4). y = A*x1 + …
Implementation & normalizing flow in matrix normal distribution
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 …