Writings
- : A math PhD in the AI era (2026 edition)
- : About this site
- : A short introduction to automatic differentiation
- : Following the Steepest Direction
- : Blogroll
- : Modernizing a CUDA library from 2015
- : What I read in 2025
- : Introduction to lower bounds in optimization
- : How to compute Hessian-vector products?
- : What's a Graph Neural Network?
- : Adding some noise
- : Basic facts on convex analysis
- : Slides/Notes for optimization courses