Fall 2025

Published

19 June 2025

Meeting Schedule

We will meet biweekly **on Wednesdays**, 11:00AM-1:00PM, in HSPH 2-426.
Date	Topic	Reading	Presenter
27^th August
10^th September
24^th September
8^th October
22^nd October
5^th November
19^th November
3^rd December
17^th December

In the upcoming Fall term, we will tentatively discuss various topics in statistical learning theory and statistical machine learning, with specific material drawn from and references made to the following texts: Wainwright (2019), Boucheron, Lugosi, and Massart (2013), Duchi (2024), and Bach (2024).

References

Bach, Francis. 2024. Learning Theory from First Principles. https://www.di.ens.fr/%7Efbach/ltfp_book.pdf.

Boucheron, Stéphane, Gábor Lugosi, and Pascal Massart. 2013. Concentration Inequalities: A Nonasymptotic Theory of Independence. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199535255.001.0001.

Duchi, John. 2024. Statistics and Information Theory. https://web.stanford.edu/class/stats311/lecture-notes.pdf.

Wainwright, Martin J. 2019. High-Dimensional Statistics: A Non-Asymptotic Viewpoint. Cambridge University Press. https://doi.org/10.1017/9781108627771.