Dive into a comprehensive 42-minute lecture on optimization techniques presented by Ashia Wilson from MIT as part of the Geometric Methods in Optimization and Sampling Boot Camp. Explore key topics including motivation, algorithms, convexity, optimality, projections, and lower bounds. Gain insights into explicit examples, algebra, quadratic functions, and gradient descent methods. Enhance your understanding of optimization principles and their practical applications in this informative talk from the Simons Institute.
Overview
Syllabus
Introduction
Topics
Motivation
Algorithms
Convexity
Optimality
Projections
Lower Bounds
Explicit Example
Algebra
Quadratic
Gradient Descent
Taught by
Simons Institute
