PHYS-512: Statistical physics of computation

Summary

This course covers the statistical physics approach to computer science problems ranging from graph theory and constraint satisfaction to inference and machine learning. In particular the replica and cavity methods, message passings algorithms, and analysis of the related phase transitions.

Official source

https://edu.epfl.ch/coursebook/en/statistical-physics-of-computation-PHYS-512

Moodle Page

http://go.epfl.ch/PHYS-512

About this result

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Analysis: Differential anaysis

Algebra: Representation theory

Statistics

Statistical inference: Mathematical statistics, Statistical hypothesis testing

Data collection: Statistical sampling

Physics

Thermodynamics: Statistical mechanics

Instructor

Lectures in this course (73)

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