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On the Complexity of Learning with Kernels
Published on 2015-08-201836 Views
A well-recognized limitation of kernel learning is the requirement to handle a kernel matrix, whose size is quadratic in the number of training examples. Many methods have been proposed to reduce this
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Presentation
On the Complexity of Learning with Kernels00:00
Kernel Learning - 100:21
Kernel Learning - 200:27
Kernel Learning - 300:50
Making Kernels More Efficient01:20
Budget Constraints - 102:05
Budget Constraints - 202:43
Budget Constraints - 303:28
Hard Kernel Matrices: Kd,m04:33
Absolute Loss, no strong convexity05:11
Proof Idea - 106:21
Proof Idea - 206:36
Proof Idea - 306:40
Proof Idea - 406:53
Proof Idea - 507:00
Soft Regularization, General Losses - 108:09
Soft Regularization, General Losses - 208:26
Some Corollaries09:21
Low Rank10:45
Summary11:44
Thanks!13:06