June 2026
- The quadratic sandwich (fedemagnani.github.io) #math#optimization
This post is a very well written explanation on whar mathematical conditions a loss function should obey so that gradient descent is effective on it.
April 2026
- Jacobi Fields in Machine Learning (olgatticus.github.io) #math#machine-learning
There are all sorts of applications of differential geometry to ML, and this article does a great job of introducing some key concepts.
January 2026
- Accurately computing sample variance online (www.johndcook.com) #math
A useful formula for computing running variance and avoid difficult numerical inaccuracies.