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  1. Numpyro: Sampling from experimental data - numpyro - Pyro …

    Jan 12, 2025 · In pyro there used to be a distribution called empirical. I want smth like that. I dont know if someone can help me in numpyro or know how to use the old function of pyro …

  2. Bad performance Bayesian Convolutional Neural Network - Misc.

    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 …

  3. Pyro Discussion Forum

    Apr 25, 2025 · Forum For Pyro Developers

  4. Help post,shape problem - Pyro Discussion Forum

    Apr 25, 2025 · with pyro.plate("data", x.size(0)): pyro.sample("obs", dist.Normal(mu, sigma), obs=y.squeeze(-1),infer={"scale": annealing_factor}) #obs,真实数据+噪声

  5. Unexpected (?) Enumerate Error with AutoNormal - numpyro

    Jun 5, 2025 · Below is a snippet of some code I have. I want to subsample a specific dimension to run SVI with the AutoNormal guide, but different sections of my output have different …

  6. Adam optimizer before NUTS? - Pyro Discussion Forum

    Mar 21, 2025 · I’m trying to infer the parameters of a non-linear ODE system. Would using a gradient descent optimizer like Adam (eg from optax) to initialize the guess starting point for …

  7. CPU Usage with NUTS - Misc. - Pyro Discussion Forum

    May 6, 2020 · Hi, I am using NUTS to fit a multivariate normal model (dim=12) on a dataset. I noticed that when running NUTS, the cpu usage is very high (600% cpu) with one chain. I …

  8. 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 …

  9. Simple Bayesian Neural Network examples - Pyro Discussion Forum

    Jan 30, 2020 · I am looking for regressions and classification examples for simple Bayesian (Probabilistic) Neural Network. Simple means neural networks that are shallow (not-deep, one …

  10. Suggestion on probs parameter of categorical dist in numpyro

    Jul 5, 2022 · In addition, if probs is not normalized, log_prob might nfot give the expected result. One way to make the probs treatment more Pyro friendly is to revise the current …

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