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A distribution is a mathematical description of probabilities or frequencies.

1 vote
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Best way to pass distribution estimates as a feature into deep learning

I think the approaches you have suggested are all good ideas (calculating moments, seeing if the outputs of the meta models follow standard distributions etc). … I would try approximating the outputs of the meta-models with simple distributions first (e.g. normal, exponential...) …
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Relationship between distribution fitting and simple regression?

If I understand you correctly, I think one distinction that has been made in the literature is of that between discriminative models which learn $p(y|x)$ and generative models which learn $p(x,y)$. T …
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1 vote

how Deriving the formula for "The on-policy distribution in episodic tasks"?

it sort of follows from the definitions of an MDP. The equation simply says that the number of visits to a state $s$ is the sum of the probability of starting in state $s$ and the probability of movin …
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