Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Projected Gradient Descent

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (34)

KKT for convex problems and Slater's CQ Log in to Mediaspace to watch this video

Covers the KKT conditions and Slater's condition in convex optimization problems.

Convex Optimization: Sets and Functions Log in to Mediaspace to watch this video

Introduces convex optimization through sets and functions, covering intersections, examples, operations, gradient, Hessian, and real-world applications.

Convex Optimization Tutorial: KKT Conditions Log in to Mediaspace to watch this video

Explores KKT conditions in convex optimization, covering dual problems, logarithmic constraints, least squares, matrix functions, and suboptimality of covering ellipsoids.

Conjugate Duality: Understanding Convex Optimization Log in to Mediaspace to watch this video

Explores conjugate duality in convex optimization, covering weak and supporting hyperplanes, subgradients, duality gap, and strong duality conditions.

Optimization Techniques: Gradient Descent and Convex Functions Log in to Mediaspace to watch this video

Provides an overview of optimization techniques, focusing on gradient descent and properties of convex functions in machine learning.

Linear Programming Techniques in Reinforcement Learning Log in to Mediaspace to watch this video

Covers the linear programming approach to reinforcement learning, focusing on its applications and advantages in solving Markov decision processes.

Legendre Transform Log in to Mediaspace to watch this video

Explores the Legendre transform, duality in convex analysis, and optimization problems.

Cutting Plane Methods Log in to Mediaspace to watch this video

Explores cutting plane methods, ellipsoid algorithm, and competitive algorithms for optimization.

Euler-Lagrange Equation Log in to Mediaspace to watch this video

Explores the classical methods for solving optimization problems, emphasizing the Euler-Lagrange equation and its variants.

Linear Regression and Logistic Regression Log in to Mediaspace to watch this video

Covers linear and logistic regression for regression and classification tasks, focusing on loss functions and model training.

Implicit Curves: Analysis & Regular Points Log in to Mediaspace to watch this video

Covers implicit curves, regular and critical points, convexity, concavity, and inflection points.

Optimal Transport: Regularity and Brenier's Theorem Log in to Mediaspace to watch this video

Explores optimal transport regularity and Brenier's theorem, discussing continuity and convexity concepts.

Distributed Intelligent Systems: Self-Organization and Foraging Strategies Log in to Mediaspace to watch this video

Explores self-organization in natural systems and foraging strategies of ants, including the Traveling Salesman Problem and Ant Colony Optimization algorithms.

Optimization in Machine Learning Log in to Mediaspace to watch this video

Explores optimization techniques, word embeddings, and recommendation systems in machine learning.

Page 2 of 2