Lecture

Nonuniform Learnability and Structural Risk Minimization

In course

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Description

This lecture covers the concept of nonuniform learnability and structural risk minimization, discussing the fundamental theorems of PAC learning, the definition of non-uniformly learnable hypothesis classes, and the relationship between PAC learnable classes and SRM. It also explores the conditions under which a hypothesis class is non-uniformly learnable and the implications of this in machine learning.

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_auf1x055

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