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A probability provides a quantitative description of the likely occurrence of a particular event.
1
vote
1
answer
149
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Need of Exp bijector in the learning the Normal?
I am trying to understand TransformedVariable class in tensorflow probability. …
4
votes
1
answer
82
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How to get a PDF which converts an already drawn sample to uniform [closed]
Suppose i have a large data pool with a particular PDF, $F(x)$, interval $[x,y]$ estimated from KDE of the datapool. I drew $N$ samples at random from that data pool and saw that their distribution is …
4
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1
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Why use KL-Divergence as loss over MLE?
I have came across this statement several time now
Maximizing likelihood is equivalent to minimizing KL-Divergence
(Sources: Kullback–Leibler divergence and Maximum likelihood as minimizing the diss …