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Adaptive online prediction by following the perturbed leader

Hutter, Marcus; Poland, Jan


When applying aggregating strategies to Prediction with Expert Advice (PEA), the learning rate must be adaptively tuned. The natural choice of √ complexity/current loss renders the analysis of Weighted Majority (WM) derivatives quite complicated. In particular, for arbitrary weights there have been no results proven so far. The analysis of the alternative Follow the Perturbed Leader (FPL) algorithm from Kalai and Vempala (2003) based on Hannan’s algorithm is easier. We derive loss bounds...[Show more]

CollectionsANU Research Publications
Date published: 2005-04
Type: Journal article
Source: Journal of Machine Learning Research


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