A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
Abstract
This tutorial is based on lecture notes written for a class taught in the Statistics Department at Stanford in the Winter Quarter of 2017. The objective was to provide a working knowledge of some of the techniques developed over the last 40 years by theoretical physicists and mathematicians to study mean field spin glasses and their applications to high-dimenensional statistics and statistical learning.
Cite
Text
Montanari and Sen. "A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists." Foundations and Trends in Machine Learning, 2024. doi:10.1561/2200000105Markdown
[Montanari and Sen. "A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists." Foundations and Trends in Machine Learning, 2024.](https://mlanthology.org/ftml/2024/montanari2024ftml-friendly/) doi:10.1561/2200000105BibTeX
@article{montanari2024ftml-friendly,
title = {{A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists}},
author = {Montanari, Andrea and Sen, Subhabrata},
journal = {Foundations and Trends in Machine Learning},
year = {2024},
pages = {1-173},
doi = {10.1561/2200000105},
volume = {17},
url = {https://mlanthology.org/ftml/2024/montanari2024ftml-friendly/}
}