Sasha Rakhlin
Professor @ MIT
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9.522: Statistical Reinforcement Learning and Decision Making
2023
IDS.160: Mathematical Statistics: A Non-Asymptotic Approach
2022
Tutorial on Generalization @ Deep Learning Bootcamp (with P. Bartlett). Videos
here
.
2019
Tutorial on online supervised learning with applications to node classification
(with K. Sridharan)
2016
Lecture notes for STAT928: Statistical Learning and Sequential Prediction
(with K. Sridharan)
2014
Slides for Spring School "Structural Inference in Statistics," Sylt, Germany.
2015
Slides
for the
Machine Learning Summer School in Kyoto
2012
Lecture notes on online convex optimization,
written mostly in 2008 at UC Berkeley (latest revision April 2009).
2008