<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title>Bing: Pyro Hand Fire</title><link>http://www.bing.com:80/search?q=Pyro+Hand+Fire</link><description>Search results</description><image><url>http://www.bing.com:80/s/a/rsslogo.gif</url><title>Pyro Hand Fire</title><link>http://www.bing.com:80/search?q=Pyro+Hand+Fire</link></image><copyright>Copyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.</copyright><item><title>Variational Inference for Dirichlet process clustering - Pyro ...</title><link>https://forum.pyro.ai/t/variational-inference-for-dirichlet-process-clustering/98</link><description>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 generalize this into a Chinese Restaurant Process involving an “infinite” number of states. But for now, I am just generating 1-D data from 3 Gaussians with proportions given by a ...</description><pubDate>Sat, 14 Mar 2026 15:41:00 GMT</pubDate></item><item><title>"The value argument must be within the support ... - Pyro Discussion Forum</title><link>https://forum.pyro.ai/t/the-value-argument-must-be-within-the-support-error-when-using-an-autoguide/4331</link><description>Finally solved this! TL;DR: using float64 instead of float32 solved the issue. Users probably should prefer this practice when auto guides and models containing latent variables sampled from distributions with simplex support are combined for SVI. Background I checked where the problem arises in AutoNormal. As assignment is a latent variable sampled from RelaxedOneHotCategorical, the value in ...</description><pubDate>Fri, 03 Apr 2026 14:06:00 GMT</pubDate></item><item><title>VAE classification - Misc. - Pyro Discussion Forum</title><link>https://forum.pyro.ai/t/vae-classification/5017</link><description>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, like pyro.sample) during inference.</description><pubDate>Thu, 09 Apr 2026 06:42:00 GMT</pubDate></item><item><title>Bayesian CNN - Misc. - Pyro Discussion Forum</title><link>https://forum.pyro.ai/t/bayesian-cnn/334</link><description>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 following: class NetC (nn.Module): …</description><pubDate>Tue, 24 Mar 2026 03:55:00 GMT</pubDate></item><item><title>How to begin learning probabilistic programming? - Pyro Discussion Forum</title><link>https://forum.pyro.ai/t/how-to-begin-learning-probabilistic-programming/519</link><description>Can anyone help me with some resources to learn probabilistic programming with pyro? I do not have any background on probabilistic programming. I skimmed through the tutorials and examples in pyro.ai but it seems they assume a background in probabilistic programming concepts.</description><pubDate>Mon, 06 Apr 2026 18:12:00 GMT</pubDate></item><item><title>Difference between Beta - Pyro Discussion Forum</title><link>https://forum.pyro.ai/t/difference-between-beta-binomial-vs-betabinomal-statistical-rethinking-example/4048</link><description>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 BetaBinomial distribution directly vs. parameterizing a Binomial distribution with a beta distribution. The example is the admissions data with gender from chapter 12 (Mixture models) and the notebook I worked ...</description><pubDate>Mon, 06 Apr 2026 23:13:00 GMT</pubDate></item><item><title>Batch processing numpyro models using Ray - forum.pyro.ai</title><link>https://forum.pyro.ai/t/batch-processing-numpyro-models-using-ray/8718</link><description>Hello again, Related post: Batch processing Pyro models so cc: @fonnesbeck as I think he’ll be interested in batch processing Bayesian models anyway. I want to run lots of numpyro models in parallel. I created a new post because: this post uses numpyro instead of pyro I’m doing sampling instead of SVI I’m using Ray instead of Dask that post was 2021 I’m running a simple Neal’s funnel ...</description><pubDate>Sat, 04 Apr 2026 00:00:00 GMT</pubDate></item><item><title>Initialize each chain of MCMC separately - forum.pyro.ai</title><link>https://forum.pyro.ai/t/initialize-each-chain-of-mcmc-separately/3491</link><description>Hi! I am running NUTS in a setting where data increases over time. What I would like to do is to is to initialize the new chains with the last sample from each of the previous chains. This works fine when I only have one chain as I can extract the last sample and use init_strategy = numpyro.infer.util.init_to_value(values=lastsample) in my NUTS kernel. This approach does not work for multiple ...</description><pubDate>Tue, 31 Mar 2026 21:47:00 GMT</pubDate></item><item><title>Question about separating model and guide function - Misc. - Pyro ...</title><link>https://forum.pyro.ai/t/question-about-separating-model-and-guide-function/86</link><description>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 regression tutorial and don’t quite understand the difference between the model function and the guide function, both of them create a linear model, with parameter defined as a distribution. My understanding is ...</description><pubDate>Mon, 23 Mar 2026 17:03:00 GMT</pubDate></item><item><title>Is it possible to save SVI.run results? - forum.pyro.ai</title><link>https://forum.pyro.ai/t/is-it-possible-to-save-svi-run-results/3999</link><description>Hello, I am trying to save the model artifacts of my SVI session so I can run an inference process later on with a different script. I’m struggling to save the guide (as this is the object used in the inference process). My first approach was to try use pickle to save the guide, but it does not support saving some JAX components. Dill, JSON, or CloudPickle do not seem to work either ...</description><pubDate>Thu, 09 Apr 2026 07:25:00 GMT</pubDate></item></channel></rss>