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Understanding Probability Distribution Learning by Matei Popovici is a document available to read on EtoBox.

What is Understanding Probability Distribution Learning about?

The document discusses learning probability distributions from samples. It introduces density estimation and the challenge of unconstrained density estimation being impossible without assumptions. It discusses restricted families of distributions that can be learned and characterizes learnability. It introduces the framework of uniform estimation of random variables and expectation maximization. It discusses sample compression schemes and shows existence of bounded size compression is equivalent to learnabi

Author

Matei Popovici

Language

EN