Optimization Nuggets: Stochastic Polyak Step-size, Part 2

Hyperparameter Tuning: Neural Networks 101

MLIR — A Global Optimization and Dataflow Analysis

Modeling the Traveling Salesman Problem from first principles

The Graph Coloring Problem: Exact and Heuristic Solutions

DL Notes: Gradient Descent

Forward Pass & Backpropagation: Neural Networks 101

Lagrange Multipliers, KKT Conditions & Duality — Intuitively Explained

Constrained Optimization and the KKT Conditions

Black-Box Chemical Process Optimization