Kyurae Kim
Kyurae Kim
Okay now that the tests pass, I am happy. I'll take it from here. Thank you so much for the amazing work!
Yes, we currently don't support the score gradient because it is generally inferior to the parameterization gradient, and discrete variables can be marginalized in closed form. However, having legit non-differentiable...
@arnauqb By the current master, do you mean v0.3.0 version? Either way, if you submit a PR, I would be happy to take a look. Ideally, it would be best...
This is now part of the planned release of v0.3 of `AdvancedVI`.
I think I will release the changes to `SliceSampling.jl` very soon. How should I proceed from here? Should I make a PR to the main repo adding a `Sampler`? Or...
Sounds great. I'll keep this issue open until then to keep track!
`Turing.Experimental.Gibbs` support is now officially coming with `0.6.0`! The results are very promising. Consider the following example on Turing's website: ```julia using Distributions using Turing using SliceSampling @model function simple_choice(xs)...
Hi @yebai @mhauru @penelopeysm it seems that when multiple parameters are jointly assigned a sampler, the result are off. Here is an example: ```julia using Distributions using Turing using SliceSampling...
HI @mhauru , it seems like there is a bug with `PG` on Turing v0.37: ```julia ┌ Error: failed to run `@example` block in src/general.md:66-91 │ ```@example turinggibbs │ using...
Ah Thanks!