Prediction with Expert Advice by Following the Perturbed Leader for General Weights

  title={Prediction with Expert Advice by Following the Perturbed Leader for General Weights},
  author={Marcus Hutter and Jan Poland},
When applying aggregating strategies to Prediction with Expert Advice, the learning rate must be adaptively tuned. The natural choice of √ complexity/current loss renders the analysis of Weighted Majority 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 [KV03] (based on Hannan’s algorithm) is easier. We derive loss bounds for adaptive learning rate and… CONTINUE READING

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