Information Measures: Part 1

In course

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Description

This lecture covers the concept of information measures, including tail bounds, subgaussions, and subpossion. It explains the relationship between X and Y, the proof of independence, and the conditional expectation. The lecture also delves into entropy, quantities in information theory, and the chain rule.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_p2y6hm1u

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