To begin I tried logging in with GitHub and also creating an account on the pyro forums, but neither of those is working.

Problem

I need to fit a batch of four independent Gaussian Processes and I don't want to have to use for loops for fitting each one. The current GP's are able to broadcast properly to my outputs, but I can't batch them so that the inputs are independent.

My input d

In X-ray crystallography, the most important prior distributions include two special cases of the generalized gamma distribtion. I am very keen to try this parameterization of the variational distritribution in my research project. How hard would it be for the TFP devs to implement this distr

Ankit Shah and I are trying to use Gen to support a project and would love the addition of a dirichlet distribution

Per a question asked by a user in the forum, it would be nice to have a tutorial/example for this type of regression. I searched for some examples available and found some nice ones below.

• https://github.com/AsaCooperStickland/Spike_And_Slab with Gibbs sampling
• http://www.batisengul.co.uk/post/spike-and-slab-bayesian-linear-regr

The current example on MDN from Edward tutorials needs small modifications to run on edward2. Documentation covering these modifications will be appreciated.

There are a variety of interesting optimisations that can be performed on kernels of the form

k(x, z) = w_1 * k_1(x, z) + w_2 * k_2(x, z) + ... + w_L k_L(x, z)

A naive recursive implementation in terms of the current Sum and Scaled kernels hides opportunities for parallelism in the computation of each term, and the summation over terms.

Notable examples of kernels with th

Tests not only allow to make sure the code is working as expected but they can also be used to make sure that the documentation and examples are up to date.

• Test the code examples in the doc
• Test the code in docstrings
• Run examples and notebooks to make sure they still work

Documentation should be quite fast to test so can run with the CI after every push. We might need to do

https://github.com/probcomp/metaprob/blob/c1a01ea02c51ea0f8fedebd45954914d7645bde9/src/metaprob/distributions.clj#L55-L60

In the scorer, argument x should be checked to lie in the interval [a,b].