Lectures related to Multi-arm Bandits

Explores gradient descent with memory, momentum methods, conjugate gradients, and nonlinear CG on manifolds.

Introduces algorithms as problem-solving procedures, covering complexity, correctness, and implementation in various languages.

By Elsa Cazelles explores the computation of optimal weak transport barycenters and their practical applications.

Covers optimization algorithms, focusing on Proximal Gradient Descent and its variations.

Discusses algorithms for balancing exploration and exploitation in decision-making processes.

Explores worst-case complexity, mathematical induction, and algorithms like binary search and insertion sort.

Covers the concept of algorithms, loop invariants, and examples of algorithmic problem-solving.