owos: dan garber -"projection-efficient first-order methods for convex low-rank matrix optimization"
Published 2 years ago • 293 plays • Length 1:07:50Download video MP4
Download video MP3
Similar videos
-
57:44
owos: shimrit shtern - "first-order algorithms for simple convex bi-level problems"
-
1:07:52
owos: meisam razaviyayn - "nonconvex min-max optimization"
-
1:01:09
owos: jingwei liang - "on the acceleration of first-order methods and a new one"
-
1:02:13
owos: damek davis - "avoiding saddle points in nonsmooth optimization"
-
27:58
1.1 optimization methods - motivation and historical perspective
-
1:00:42
owos: jane j. ye - "on solving bilevel programming problems"
-
1:17:53
owos: shoham sabach - "faster lagrangian-based methods in convex optimization"
-
57:12
owos: xiaoming yuan - "from optimization to optimal control: an algorithmic design perspective"
-
1:10:12
owos: asu ozdaglar - "robustness in machine learning and optimization: a minmax approach"
-
1:08:23
owos: konstantin mishchenko - "regularized newton method with global o(1/k^2) convergence"
-
1:02:17
owos: daniel kuhn - "a general framework for optimal data-driven optimization"
-
53:17
owos: walaa moursi - "douglas-rachford algorithm for possibly inconsistent optimization problems"