Embeddings into l_inf

About
Privacy
Disclaimer

Graph Chatbot

In course

Minim ullamco sunt sit anim aute incididunt ut incididunt tempor minim adipisicing. Aute commodo duis minim in qui commodo culpa elit irure ad tempor commodo incididunt. Tempor ad esse nisi laborum in adipisicing. Consectetur cupidatat enim mollit cillum cillum sit labore nostrud exercitation magna irure cillum excepteur. Eu aute irure esse est ut sunt adipisicing adipisicing exercitation nulla consequat officia sit officia. Ullamco in anim veniam pariatur exercitation dolor dolor ea proident Lorem cillum adipisicing cillum.

Description

This lecture discusses embeddings into l_inf, focusing on a theorem related to finite metric spaces. The instructor explains the application of the theorem with examples and explores Frechet embeddings, open balls, and random selection of points.

Official source

Related lectures (10)

https://mediaspace.epfl.ch/media/0_rbbr5lio

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.

In course

DEMO: cillum quis minim enim

Related lectures (10)

Randomness in Social Process

Explores randomness in social processes, focusing on the selection of authority roles.

Metric Spaces: Topology and Continuity

Introduces metric spaces, topology, and continuity, emphasizing the importance of open sets and the Hausdorff property.

Riemannian distance, geodesically convex sets

Covers the structure of Riemannian manifolds, geodesic convexity, and the Riemannian distance function.

Sampling: Inference and Statistics

Explores sampling, inferential statistics, and effective experimentation in statistics.

Quantum Random Number Generation

Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.