Good Stuff
Lecture notes (or free books)
- John Duchi’s stats notes
- Sinho Chewi’s notes on optimization
- Notes taken by Tyler Zhu during Sinclair’s class “Randomness and Computation”
- “Non-uniform random variate generation” by Luc Devroye
- Kantas notes on sequential Monte Carlo
- A course on generative modeling by John Thickstun
- The only thing you need to read on RL by the great Kevin Murphy-
- “Almost none of the theory of stochastic processes” by Shalizi & Kontorovich
- The best intro to Markov Chains by my all-time favorite Pierre Brémaud
- “Graph theory and additive combinatorics” by Yufei Zhao
- Candés notes on theory of statistics
Blog posts
- Einsum is all you need
- How to pass a coding interview (with Robert Heaton)
- Why I love refactoring
- Career advice
- Grad school advice
- Making deep learning go brr from first principles
- The definition of simplicity
- A gentle introduction to Ray Core
- The Russian roulette: An unbiased estimator of the limit
- Haikus about EA
- Attention as deconvolution
- Intro to GPU programming with Triton
- torch.compile, the missing manual
- In the age of slop, craft is rebellion