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  • Pyro Discussion Forum
    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: 6900: October 15, 2020
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    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 Wishart As a result, I believe the posterior distribution should also follow a matrix normal distribution Is there a way to implement the matrix normal distribution in Pyro? If I replace the conjugate priors with
  • MCMC inference running too slow for simple example - Misc. - Pyro . . .
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  • Simple Bayesian Neural Network examples - Pyro Discussion Forum
    Pyro Discussion Forum Simple Bayesian Neural Network examples Misc caxelrud January 30, 2020, 6:27pm
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    In Pyro, it is required that “All dimensions must be declared either dependent or conditionally independent ” You can take a look at tensor shape tutorial to get a sense of it Home
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    Pyro Discussion Forum Trouble Initializing Parameters for SVI numpyro abhi April 22, 2025, 10:19pm





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