Closed carlolimb closed 4 years ago
The definition is OK. The x does not play an important role in the context of the question. But we didn't want to reformulate it as p(z) alone as it resembles a problem in variational inference. Agree it's probably misleading, but I don't have a good workaround.
I took the example from here: https://media.nips.cc/Conferences/2016/Slides/6199-Slides.pdf
slide 75
While variational inference is far beyond the scope of the book, solving these kind of problems we can actually do.
Thanks for the quick response. Would it be prudent to state x \in \mathbb{R}^n and/or the dimension of the other variables?
On Tue, Feb 25, 2020 at 1:35 PM Marc Deisenroth notifications@github.com wrote:
The definition is OK. The x does not play an important role in the context of the question. But we didn't want to reformulate it as p(z) alone as it resembles a problem in variational inference. Agree it's probably misleading, but I don't have a good workaround.
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Good suggestion. I'll add this.
5.9 We define g(z,v):= log p(x,z) - log q(z,v) z := t(e,v)
What is x in p(x,z)? It would make sense if it was a v and we considered p(v,z).