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What and Who
Title:Extreme Classification: Algorithms and Theory
Speaker:Marius Kloft
coming from:TU Kaiserslautern
Speakers Bio:
Event Type:Talk
Visibility:D1, D2, D3, D4, D5, RG1, SWS, MMCI
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Level:Public Audience
Date, Time and Location
Date:Tuesday, 12 June 2018
Duration:60 Minutes
Building:E1 5
In my talk, I will present novel algorithms and theory for 'extreme classification', which is multi-class (MC) classification using an *extremely* large number of label classes.

The main contributions are:
(1) Statistical generalization error bounds that scale *logarithmically* in the number of classes (previously best scaling: linear), allowing us to learn even when
#classes > #instances.
(2) Optimization algorithms that distribute the training of all-in-one multi-class SVMs over the classes, which makes them appealing for the use in extreme classification.

Name(s):Connie Balzert
Video Broadcast
Video Broadcast:NoTo Location:
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Attachments, File(s):

Connie Balzert/MPI-INF, 06/08/2018 11:49 AM
Last modified:
Uwe Brahm/MPII/DE, 06/12/2018 07:01 AM
  • Connie Balzert, 06/08/2018 11:49 AM -- Created document.