Optimization 11
- The Mean-ing of Loss Functions
- Introduction to Basic Mathematical Optimization
- Adam Through the Lens of Information Geometry: A Diagonal Fisher Approximation
- Metrized Deep Learning: Muon
- Matrix Norms: Foundations for Metrized Deep Learning
- Online Learning Crash Course – Part 0: Setting & Motivation
- Variational Calculus Part 1: Functionals and the Quest for Optimal Functions
- Variational Calculus Part 2: The Euler-Lagrange Equation
- Variational Calculus Part 3: Lagrangian, Hamiltonian, and the Legendre Transform
- Cheat Sheet: Variational Calculus for Optimization
- Variational Calculus for Optimization