
Pyro Discussion Forum
Feb 10, 2025 · The Future of Pyro It’s been almost three years since we released the alpha version of Pyro in November 2017. And what a ride it’s been! We’ve been thrilled to see our user and contributor base continue to grow, with di… 1: 6834: October 15, 2020
Subsampling vs batching - Pyro Discussion Forum
Jun 23, 2021 · Hi pyro experts, I come from the general ML/DL world, but am a noob in Bayesian methodologies. I read this Tutorial on scaling SVI to large datasets, and had a few questions on subsampling. What is subsampling used for? Can sub sampling be thought of as batching (as understood in frequentist ML) in the context of a large dataset?
Adam optimizer before NUTS? - Pyro Discussion Forum
Mar 21, 2025 · Pyro Discussion Forum Adam optimizer before NUTS? quantumdoodle March 21, 2025, 1:28am 1. I’m trying to ...
大家一起来完善官方教程汉化版 - Tutorials - Pyro Discussion Forum
Apr 13, 2020 · 要做一些高斯过程相关的研究,刚接触pyro, 浏览了你的Introduction部分,能在翻译原教程的基础上加入概率图和重点提炼等以帮助理解,着实不错,当然这也是我个人觉得汉化教程最应该具有的闪光点,。
Using numpyro.factor () in an SVI guide - Pyro Discussion Forum
Sep 6, 2023 · I am playing with some basic implementations of SVI in NumPyro, and having issues getting my guide’s to work for all but the most basic of dummy distributions. The simple example I’ve been working with is using SVI to recover a two-variable gaussian distribution. I have seen people use numpyro.factor() in other posts on this forum, so I know this should be a …
learning the prior, and meta learning - Pyro Discussion Forum
Dec 6, 2023 · Hello, I am new to pyro and BNN and I am still trying to properly understand the duality prior, posterior. So far, I understood that the prior is supposed to represent the knowledge I have, my intuitions BEFORE learning, so they are often chosen as isotropic Gaussians. Yet as the prior has a role in the prediction function, a bad prior could result in a bad prediction, thus you …
MultivariateNormal sampling with only some of ... - Pyro …
Jun 17, 2024 · Let’s say that I manage 6 bakeries. Each has its own menu (with no menu items in common across locations), and the number of items can vary from bakery to bakery. For example, bakery number 3 might offer 10 items, bakery number 4 might offer 15. Every now and then, I ask a customer to rate a number of items that I offer them to try from a single location. Maybe one …
Parallelising Numpyro - Pyro Discussion Forum
Dec 11, 2020 · Hi and thanks again for a great package, I really like using Numpyro! I now have a setup working (see also this) where I am fitting a BetaBinomial model to some data and getting great results. I now have to fit multiple datasets (around 10,000 small ones) similar to the one I have tested on until now. What is the recommended approach for parallelising this? I have a …
Custom distribution for mixture model - Pyro Discussion Forum
May 7, 2024 · You can check how the shapes work at Tensor shapes in Pyro — Pyro Tutorials 1.9.0 documentation. d: batch_shape + event_shape value: sample_batch_shape + event_shape d.log_prob(value): broadcast_shapes(batch_shape, sample_batch_shape) If you think this is the issue of log_prob, you can check:
Sample from the mixture same family distribution - numpyro
Jul 24, 2021 · I know there is a feature request to add a version of MixtureSameFamily from Pyro. Following the discussion from the original thread that spawned the above [FR] , @ fehiepsi gave a snippet to generalize a mixture from the same family found here .