PHYS-642 Statistical physics for optimization & learning

Florent Krzakala, École polytechnique fédérale de Lausanne (EPFL)

24 February 2021, No video, No views

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.

More information are on  https://sphinxteam.github.io/EPFLDoctoralLecture2021/

Viewable by anyone with the link to the video.