Lectures related to Optimization Techniques: Gradient Descent and Convex Functions

Covers the properties and operations of convex functions.

Explores the optimality of convergence rates in convex optimization, focusing on accelerated gradient descent and adaptive methods.

Explores geodesic convexity in metric spaces and its applications, discussing properties and the stability of inequalities.