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What and Who

Extreme Classification: Algorithms and Theory

Marius Kloft
TU Kaiserslautern
Talk
AG 1, AG 2, AG 3, AG 4, AG 5, RG1, SWS, MMCI  
Public Audience
English

Date, Time and Location

Tuesday, 12 June 2018
12:00
60 Minutes
E1 5
029
Saarbrücken

Abstract

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.

Contact

Connie Balzert
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Connie Balzert, 06/08/2018 11:49 -- Created document.