Lecture

Graph Coloring: Theory and Applications

Description

This lecture covers the theory and applications of graph coloring, focusing on disassortative stochastic block models and planted coloring. It discusses the challenges and strategies in graph coloring, including equilibrium sampling, Bayes optimal overlap, and undetectable phases.

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Official source

https://mediaspace.epfl.ch/media/0_iwogri09

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In course

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Description

This video is available exclusively on Mediaspace for a restricted audience. Please log in to MediaSpace to access it if you have the necessary permissions.

Watch on Mediaspace

Instructors (2)

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Official source

https://mediaspace.epfl.ch/media/0_iwogri09

About this result

Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Mathematical logic: Set theory

Statistics

Data collection: Statistical sampling

Statistical inference: Mathematical statistics

Astronomy

Astrophysics: Stellar astronomy, Physical cosmology

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