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A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning

A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning

Arash Afkanpour
András Gyorgy
Csaba Szepesvári
Michael Bowling
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Papers citing "A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning"

2 / 2 papers shown
Title
Iteration Complexity of Randomized Block-Coordinate Descent Methods for Minimizing a Composite Function
Iteration Complexity of Randomized Block-Coordinate Descent Methods for Minimizing a Composite Function
Peter Richtárik
Martin Takáč
91
770
0
14 Jul 2011
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning
Francis R. Bach
BDL
105
250
0
09 Sep 2008

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