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A comment on A group of ex-NSA and Amazon engineers are building a ‘GitHub for data’. Parent comment
Generative models do not necessarily know P(X,Y), often they simply give samples of (X,Y) using some map
G: Q -> (X,Y); Q~N(0,1)
Actually getting P(X,Y) would mean inverting G, which is not always possible (although there are some invertible GANs).
Computing P(X) is often computationally intractable as tracing out variables can be arbitrarily expensive.
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Generative models do not necessarily know P(X,Y), often they simply give samples of (X,Y) using some map
G: Q -> (X,Y); Q~N(0,1)
Actually getting P(X,Y) would mean inverting G, which is not always possible (although there are some invertible GANs).
Computing P(X) is often computationally intractable as tracing out variables can be arbitrarily expensive.