Black box variational inference for gammas

Whoa, this has been a long blogging hiatus for me.  I have no excuses other than I've been enjoying life and working hard.  So not excuses, reasons.

I return with a super light-and-fluffy post to share a guide to black box variational inference for gamma-distributed latent variables.  BBVI is very powerful, but I was having trouble applying it to gamma variables, so I asked Rajesh (its creator) for some tips.  I wrote the guide to try out his tricks on a very simple model and share them with other folks that might be having similar issues.  Have fun, ya'll.

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