Mar 1, 2023 · pyro.sample, uses a stochastic function (such as a pyro distribution) to initiate the parameter store and the trace (graph structure that denotes the relationships of the pyro primitives, …

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 Inference. I want to …

Aug 5, 2020 · pyro.sample("y", y_dist, obs=y) # or pyro.factor("y_loss", y_loss_tensor) return ... I am not familiar enough with the details of your model to fix the code for you, but this is covered in detail in …

Nov 17, 2020 · Trying to define mini-batch logic for Bayesian GPLVM training but unsuccessful so far following the suggestions in this older thread: Pyro Bayesian GPLVM SVI with minibatching So the …

Jul 30, 2018 · Hi, I am new to pyro. To try it I wanted to train a CNN module using bayesian inference using pyro. Can Anyone help me to transform it to random_module pyro? The network is the …

Apr 22, 2022 · Hi I see that numpyro has an univariate truncatednormal distribution, any suggestions for most efficient way I might be able to implement it (or other single/double truncated distributions) …

Jul 20, 2020 · I saw that pyro is planning to add at least a truncated normal distribution soon. However I want to implement a truncated normal distribution as prior for a sample param. I came accross the …

Jan 13, 2018 · I am new to both pyro and probabilistic programming but I tried to do my homework before I raise this issue, please bear with me if it is real basic. I was going through the Bayesian …

Mar 28, 2022 · Hi! A bit of a beginner question here. I’m working through some examples in Statistical Rethinking and I am having trouble understanding what is happening differently when using the …

Aug 18, 2022 · How to know which 2 parameters are set to be dependent if I set to_event(2)?