The following is a list of various things that I have read (to some extent) since starting graduate school. I haven’t necessarily read all (or even most) of any particular item on the list; this is just meant to record past and present interests of mine. Many items are repeated across sections.

Spring 2025

Information Theory: From Coding to Learning (Yury Polyanskiy, Yihong Wu)

Statistical Optimal Transport (Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet)

Computational Optimal Transport

Algorithmic Aspects of Machine Learning (Ankur Moitra)

Log-Concave Sampling (Sinho Chewi)

sampling, diffusion model, Stochastic Calculus ()

Randomized Numerical Algebra

SoS