Notes
Find my notes on Convex Optimization, stemming from Columbia's Spring 2025 E6616 course.
I hope to add notes on topics from my PhD, including (algorithmic) game theory, algorithms with predictions, and more here!
Find my notes on Convex Optimization, stemming from Columbia's Spring 2025 E6616 course.
I hope to add notes on topics from my PhD, including (algorithmic) game theory, algorithms with predictions, and more here!
In the meantime, feel free to take a look at my undergraduate notes, spanning a subset of my coursework in Math, Statistics, and Computer Science at Swarthmore College. There are likely small typos and errors, so view at your own peril. Most of my corresponding GitHub links have homework solutions. If you've somehow stumbled on this page and are taking a course covering those materials, please do not plagiarize.
MATH 102 (Abstract Algebra II): Notes
MATH 69 (Combinatorics): Notes
MATH 67 (Abstract Algebra I): Notes
MATH 65 (Differential Geometry): Notes
STAT 61 (Mathematical Statistics I): GitHub
MATH 54 (Partial Differential Equations): List of Typos in Logan's Applied Differential Equations, Notes, GitHub
STAT 51 (Probability): Notes
MATH 44 (Differential Equations): Notes
CPSC 91T (Computational Geometry): Notes, Final Project, GitHub
CPSC 75 (Compilers): Notes
CPSC 66 (Machine Learning): Notes
CPSC 63 (Artificial Intelligence): Notes
CPSC 45 (Operating Systems): Notes
CS17SR (Rust Programming, Directed Reading): Notes