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Downgrading, as @qinqian suggests, also resolves #3014.

Yes, that sounds like a fun project. We (my supervisor) have Master's students often working in Pyro/NumPyro on Directional Statistics, so I believe this would be very useful. I'm developing...

I'll let you know when the first dataset is available. It shouldn't take too long on our end.

Hi @fritzo, the 9mers dataset is submitted to the [ML repo](https://archive.ics.uci.edu/ml/index.php). Not sure how long it takes before it's available. I'll keep you posted.

Hi @alexlyttle, Saw your [circular reparam](https://github.com/pyro-ppl/numpyro/pull/1080) over on NumPyro and figured you might be interested in collaborating on this tutorial? In particular, if you know of a high-quality public dataset...

@alexlyttle that looks very neat. Would be cool if the directional treatment works out well. I look forward to seeing it!

Should I ignore notebooks when using black? When running `black[jupyter]==22.6.0`, I get 48 files changed.

> Yes could you please ignore notebooks? Sure, no problem. > The easiest way to do so is to run black through `make format`. Alternatively we could set up a...

@martinjankowiak, can you suggest a plating structure where we need to compute the dependence (i.e., `all_dims - sum_dims != num_particles_vectorized`)? I've been playing around with the current implementation but cannot...

@martinjankowiak, sorry for the late reply. > why doesn't this logic sum out the data plate dimension? From my understanding, this corresponds to including the data plate dimension in [`sum_dims`](https://github.com/pyro-ppl/pyro/blob/dev/pyro/infer/renyi_elbo.py#L107),...