Lectures related to Faster Gradient Descent: Projected Optimization Techniques

Explores optimal transport and convex analysis, emphasizing convex functions and their applications.

Explores linear models, regression, multi-output prediction, classification, non-linearity, and gradient-based optimization.

Explores gradient and conjugate gradient methods for solving linear systems efficiently.