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math.ST2024
Bayes optimal learning in high-dimensional linear regression with network side information
Sagnik Nandy, Subhabrata Sen
Supervised learning problems with side information in the form of a network arise frequently in applications in genomics, proteomics and neuroscience. For example, in genetic appli…
math.ST2024
A Friendly Tutorial on Mean-Field Spin Glass Techniques for Non-Physicists
Andrea Montanari, Subhabrata Sen
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 kn…