Linear programming with online learning

Linear programming with online learning

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Article ID: iaor20083419
Country: Netherlands
Volume: 35
Issue: 5
Start Page Number: 612
End Page Number: 618
Publication Date: Sep 2007
Journal: Operations Research Letters
Authors: , , ,
Abstract:

We propose online decision strategies for time-dependent sequences of linear programs which use no distributional and minimal geometric assumptions about the data. These strategies are obtained through Vovk's aggregating algorithm which combines recommendations from a given strategy pool. We establish an average-performance bound for the resulting solution sequence.

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