Explore advanced concepts in convex optimization through this comprehensive lecture by Sebastien Bubeck from Microsoft Research. Delve into gradient flow, compare various optimization techniques, and discover the intricacies of the Double Star algorithm. Learn about Alpha and Beta normalization, and gain insights into optimal algorithms. Conclude by mastering the process of writing effective optimization algorithms, enhancing your understanding of this crucial field in computer science and mathematics.
Overview
Syllabus
Intro
Gradient flow
Comparison
Better
Double Star
Alpha and Better
Normalize
Optimal Algorithm
Writing the Algorithm
Taught by
Paul G. Allen School
Related Courses
-
Convex Optimization III - Sebastien Bubeck - Microsoft Research
-
Convex Optimization V - Sebastien Bubeck - Microsoft Research
-
Large Scale Machine Learning and Convex Optimization - Lecture 3
-
Large Scale Machine Learning and Convex Optimization - Lecture 1
-
Gradient Descent on Infinitely Wide Neural Networks - Global Convergence and
-
Geodesically Convex Optimization - Can We Prove P!=NP Using Gradient Descent - Avi Wigderson
