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https://github.com/raphelwei/ml-theory-roadmap

A growing list of papers, books, courses and blogs related to machine learning theory and optimization
https://github.com/raphelwei/ml-theory-roadmap

awesome-lists machine-learning machine-learning-theory online-learning optimization

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A growing list of papers, books, courses and blogs related to machine learning theory and optimization

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# ML Theory Roadmap

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](https://sihanwei.org/ml-theory)

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## Structure

- **Topics**
- [Learning Theory](docs/learning-theory.md)
- [Optimization](docs/optimization.md)
- [Online Learning](docs/online-learning.md)
- [ML for Combinatorial Optimization](docs/ml4co.md)

- **Resources**
- [Books](docs/books.md)
- [Courses](docs/courses.md)
- [Blogs](docs/blogs.md)

## Contributing

This roadmap is still under construction, but if you’ve found something worth adding — or feel like helping me shape it — PRs are welcome.