Oct 4, 2025 · Forum For Pyro Developers

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 …

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, …

May 15, 2024 · I am using pyro.optim.ClippedAdam and have tried clip_norm = 0.00001, 1.0, 10 and a bunch of values in between, but the gradients are always regardless and don’t appear to change …

Jan 9, 2024 · Hey guys, This is more of a general Bayesian Statistics question. Here is a reference to the 8-schools example in Numpyro: Numpyro Eight Schools In the bayesian statistics literature it …

Jul 22, 2021 · In my opinion, it is unlikely that the model definition or guide adds many bottlenecks to your inference. There are many factors that affect the speed: the number of BFGS iterations are …

Nov 23, 2018 · 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 …

Jun 3, 2019 · Forum For Pyro Developers

Oct 4, 2021 · Hi all, I am playing around with the do-operator while following along with the lecture Causality: Jonas Peters, Part 1 and the post by inFERENCe toy example. models Given the three …

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 …