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A probability provides a quantitative description of the likely occurrence of a particular event.

1 vote
1 answer
149 views

Need of Exp bijector in the learning the Normal?

I am trying to understand TransformedVariable class in tensorflow probability. …
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  • 237
4 votes
1 answer
82 views

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 …
ipcamit's user avatar
  • 237
4 votes
1 answer
3k views

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 …
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  • 237