Tutorial on Optimization for Machine Learning

This tutorial provides an introduction to the theory and practice of optimization for machine learning. Starting from the basics, Navid Azizan, postdoctoral scholar, Autonomous Systems Lab, will cover the fundamentals of convex optimization and iterative optimization algorithms, such as gradient descent (GD) and its popular variant, stochastic gradient descent (SGD).