Lectures related to Policy Gradient Methods: Convergence and Optimization

Optimization Techniques: Stochastic Gradient Descent and Beyond Log in to Mediaspace to watch this video

Discusses optimization techniques in machine learning, focusing on stochastic gradient descent and its applications in constrained and non-convex problems.

Convex Optimization Log in to Mediaspace to watch this video

Introduces convex optimization, focusing on the importance of convexity in algorithms and optimization problems.

KKT and Convex Optimization Log in to Mediaspace to watch this video

Covers the KKT conditions and convex optimization, discussing constraint qualifications and tangent cones of convex sets.

Convex Functions Log in to Mediaspace to watch this video

Covers the properties and operations of convex functions.

Convex Optimization: Gradient Algorithms Log in to Mediaspace to watch this video

Covers convex optimization problems and gradient-based algorithms to find the global minimum.

Non-Convex Optimization: Techniques and Applications Log in to Mediaspace to watch this video

Covers non-convex optimization techniques and their applications in machine learning.