This lecture proves that all norms are convex and discusses the implications of norm complexity for optimization, especially in machine learning.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company.
%%% CHAPTERS %%%
00:00 The l2 Norm
02:54 Example Convex Norms
04:45 Non-Convex Pseudonorms
05:55 The l2 Squared in Optimization
10:06 Gradient of l2 Squared
12:14 Proof: All Norms are Convex
16:34 Note on LP Norms & Outro
This lecture proves that all norms are convex and discusses the implications of norm complexity for optimization, especially in machine learning.
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company.
%%% CHAPTERS %%%
00:00 The l2 Norm
02:54 Example Convex Norms
04:45 Non-Convex Pseudonorms
05:55 The l2 Squared in Optimization
10:06 Gradient of l2 Squared
12:14 Proof: All Norms are Convex
16:34 Note on LP Norms & Outro
Well understood,
Thanks Prof