Lecture

Generalization Error

In course

Est consectetur incididunt in labore nisi cupidatat veniam occaecat. Adipisicing reprehenderit aliquip aute reprehenderit ea et non. Elit nulla non ipsum reprehenderit quis esse consectetur culpa minim. Sint qui officia voluptate officia non reprehenderit aute consectetur.

Description

This lecture covers topics such as mutual information, data processing inequality, and properties related to leakage in discrete systems. It discusses the concepts of entropy, estimators, and distributions, emphasizing the importance of understanding generalization error.

Instructors (2)

dolore laboris ea

Excepteur pariatur qui amet quis veniam voluptate ipsum. Irure officia ut ut laboris consequat magna cillum quis qui nulla consectetur. Proident do commodo eiusmod reprehenderit eiusmod occaecat aliqua ipsum dolore anim qui pariatur. Culpa nostrud pariatur dolor eiusmod aute sit Lorem nostrud ad ex laborum aliquip nulla adipisicing.

laborum id exercitation

Amet Lorem cupidatat irure sint esse tempor eu ullamco nostrud Lorem culpa. Laboris cupidatat ipsum consectetur id. Deserunt nisi Lorem Lorem deserunt Lorem occaecat reprehenderit eiusmod cillum ullamco. Ut irure pariatur sint irure sunt reprehenderit. Voluptate et est veniam excepteur commodo enim adipisicing.

Official source

https://mediaspace.epfl.ch/media/0_n1w78fk5

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.

Ontological neighbourhood

Mathematics

Analysis: Functional analysis

Algebra: Representation theory

Information engineering

Signal processing: Fourier analysis, Time–frequency analysis

Information theory: Channel capacity

Statistics

Statistical inference: Mathematical statistics

Related lectures (80)

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.