PHYS-642: Statistical physics for optimization & learning

Summary

This course covers the statistical physics approach to computer science problems, with an emphasis on heuristic & rigorous mathematical technics, ranging from graph theory and constraint satisfaction to inference to machine learning, neural networks and statitics.

Official source

https://edu.epfl.ch/coursebook/en/statistical-physics-for-optimization-learning-PHYS-642

Moodle Page

http://go.epfl.ch/PHYS-642

About this result

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Ontological neighbourhood

Mathematics

Discrete mathematics: Graph theory

Number theory: Number theory

Physics

Thermodynamics: Statistical mechanics

Statistics

Statistical inference: Mathematical statistics

Instructors (2)

Lectures in this course (53)

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