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Published 20 hours ago • verified publisher icon tensorflow

Tutorial on Variational Inference

Open nishantb21 opened this issue 7 years ago • 6 comments
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The current tutorials cover a majority of MCMC. Could we get one for variational inference? The edward tutorial on Supervised Learning shows how to run inference using Kullback-Leibler divergence. It would be great if you could provide a similar port over at TFP.

nishantb21 avatar Sep 03 '18 04:09 nishantb21

Do you still need help on this? I would like to contribute here.

adam2392 avatar Apr 03 '19 22:04 adam2392

Yes! I would love to have a tutorial for variational inferencing. Thanks!

nishantb21 avatar Apr 04 '19 06:04 nishantb21

Is there any simple VI tutorial available now?

mr-easy avatar Jun 12 '19 07:06 mr-easy

Is this issue still open? I would like to contribute some simple tutorials 😄

willtai avatar Aug 12 '20 19:08 willtai

@willtai Yes, I guess it's still open. And people still need some tutorials :)

mr-easy avatar Aug 13 '20 04:08 mr-easy

@nishantb21 I would like to contribute to this as well!

Tasfia-Ara avatar Feb 05 '22 08:02 Tasfia-Ara