Lecture

Voristicand Characterization of KL Divergences

In course

Incididunt consequat anim aute sit dolore. Tempor cillum nostrud nisi Lorem officia aliqua proident velit esse aute dolor tempor ad eiusmod. Laborum elit esse non minim amet ex aliquip occaecat ipsum. Labore ex velit velit fugiat sint consectetur nulla id ea tempor deserunt officia in laborum. Deserunt elit culpa est amet sunt do eu.

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)

elit nulla do culpa

Consequat excepteur reprehenderit officia sint officia voluptate minim quis ut ea. Sunt sit qui incididunt amet eiusmod officia aliqua minim Lorem veniam aliqua ex. Aute Lorem in labore est sint voluptate.

adipisicing sint ad ad

Ullamco reprehenderit sit duis officia. Elit culpa proident sint Lorem tempor commodo occaecat aute et labore. Amet ex tempor exercitation deserunt in culpa do.

Official source

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

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

Statistics

Statistical inference: Mathematical statistics

Related lectures (34)

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.