Lecture

Voristicand Characterization of KL Divergences

In course

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Description

This lecture covers the concept of exploration bias and generalization bound in the context of KL divergences, focusing on the mathematical proofs and implications of these concepts. The instructor discusses the relationship between sample space, alphabet, and exploration bids, providing examples to illustrate the theoretical framework.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_i0qzra19

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

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