Explore higher-order optimization methods in this 57-minute lecture by Deeksha Adil from ETH Zurich, presented at the Simons Institute's Data Structures and Optimization for Fast Algorithms Boot Camp. Delve into advanced techniques for improving optimization algorithms, focusing on the first part of higher-order methods and their applications in enhancing algorithmic efficiency and performance.
Optimization: Higher-order Methods - Part 1
Overview
Syllabus
Optimization: Higher-order Methods Part 1
Taught by
Simons Institute
Related Courses
-
Optimization: Higher-order Methods - Part 2
-
Optimization Algorithms: Theory and Software Implementation
-
Optimization: First-order Methods - Part 1
-
Introduction to optimization on smooth manifolds: first order methods
-
Optimization: First-order Methods - Part 2
-
New Perspectives for Higher-order Methods in Convex Optimization
