High-Dimensional Convexity: Testing, Learning, and Complexity
Hausdorff Center for Mathematics via YouTube
Overview
Watch a 49-minute mathematics lecture exploring the parallels between algorithmic and structural aspects of high-dimensional convex sets over Gaussian space and monotone Boolean functions over {0,1}^n. Delve into groundbreaking research conducted in collaboration with Anindya De and Rocco Servedio that investigates this powerful yet not fully understood analogy in mathematical theory. Learn about the testing, learning, and complexity aspects of high-dimensional convexity through detailed explanations and mathematical insights presented by Shivam Nadimpalli at the Hausdorff Center for Mathematics.
Syllabus
Shivam Nadimpalli: High-dimensional convexity: testing, learning, and complexity
Taught by
Hausdorff Center for Mathematics