Advanced Information Theory: F-Divergences and Generalization Error

In course

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Description

This lecture covers advanced topics in information theory, focusing on f-divergences and their properties, such as strict convexity and the Kullback-Leibler divergence. It also explores the application of these concepts in measuring the generalization error in supervised learning algorithms.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_5rkejoti

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