A curated and evolving map of papers, notes, and resources related to machine learning and optimization.
This project started as a personal reading record, and grew into a structured resource grouped by topic. It includes papers I've read, am reading, or plan to return to — sometimes annotated with insights or links to notes.
📍 View the roadmap: sihanwei.org/ml-theory
-
Topics
-
Resources
This roadmap is still under construction, but if you’ve found something worth adding — or feel like helping me shape it — PRs are welcome.