Lecture

Advanced Information Theory: F-Divergences and Generalization Error

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.

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