7
votes
Accepted
Can Bayesian inference be combined with knowledge-based systems?
Yes, it is possible to combine probabilistic / bayesian reasoning and a traditional "knowledgebase". And some work along those lines has been done. See, for example, ProbLog ("Probabilistic Prolog") ...
- 3,767
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Why optimise log p(x) rather than log p(x|z) in a Variational AutoEncoder?
I thought $p(x)$ was just the distribution of $x$, which are the input variables we have observed. So how can we maximize $p(x)$, if it is the actual distribution of data in the real world?
I think ...
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Why optimise log p(x) rather than log p(x|z) in a Variational AutoEncoder?
TLDR: We're doing a maximum likelihood fit of our model. The VAE sets this up in a way that doesn't require evaluating the model likelihood, but instead expresses a lower bound in terms of ...
- 56
1
vote
Accepted
Is there an entry level textbook on Bayesian Inference that is a nice blend of theory and applications?
Using as a best reference accordingly my own google research, find the best post about best introductory Bayesian statistics book and summarize the answers. I find this post in stats.stackexchange ...
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