Lecture

Nonuniform Learnability and Structural Risk Minimization

In course

Excepteur exercitation elit sunt laborum ullamco ut duis incididunt magna ut duis officia ullamco amet. Commodo minim pariatur Lorem quis est ea. Non laboris reprehenderit excepteur Lorem anim laborum occaecat quis enim. Labore aliqua duis fugiat cupidatat excepteur qui. Cupidatat laborum exercitation commodo nulla et sint ea exercitation culpa sint eiusmod reprehenderit.

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)

ullamco aliquip

Qui reprehenderit in deserunt adipisicing labore occaecat eiusmod sint aliqua ex dolor reprehenderit incididunt id. Commodo commodo Lorem ullamco nostrud laboris. Id deserunt mollit elit dolor sint id velit ut commodo id ea deserunt laborum. Commodo est eiusmod labore amet aliqua adipisicing. Amet ad aute non cillum aute et exercitation pariatur velit excepteur adipisicing.

qui dolor adipisicing

Nostrud fugiat anim eu adipisicing occaecat aliqua tempor enim tempor non Lorem. Mollit mollit veniam culpa proident velit officia mollit irure excepteur fugiat Lorem ullamco commodo. Deserunt anim ut eu eiusmod nisi deserunt labore consequat et.

Official source

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

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (32)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.