Literature for High Dimensional Analysis: Random Matrices and Machine Learning


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no image available Couillet, Romain and Liao, Zhenyu
Random matrix methods for machine learning
Cambridge 2022
no image available Roberts, Daniel A. and Yaida, Sho
The principles of deep learning theory:
An effective theory approach to understanding neural networks
Cambridge 2022
no image available Vershynin, Roman
High-dimensional probability:
An introduction with applications in data science
Cambridge 2018
no image available Zagidullina, Aygul
High-dimensional covariance matrix estimation:
An introduction to random matrix theory
Springer 2021