Supermartingales in Prediction with Expert Advice
- Cite this paper as:
- Chernov A., Kalnishkan Y., Zhdanov F., Vovk V. (2008) Supermartingales in Prediction with Expert Advice. In: Freund Y., Györfi L., Turán G., Zeugmann T. (eds) Algorithmic Learning Theory. ALT 2008. Lecture Notes in Computer Science, vol 5254. Springer, Berlin, Heidelberg
This paper compares two methods of prediction with expert advice, the Aggregating Algorithm and the Defensive Forecasting, in two different settings. The first setting is traditional, with a countable number of experts and a finite number of outcomes. Surprisingly, these two methods of fundamentally different origin lead to identical procedures. In the second setting the experts can give advice conditional on the learner’s future decision. Both methods can be used in the new setting and give the same performance guarantees as in the traditional setting. However, whereas defensive forecasting can be applied directly, the AA requires substantial modifications.
Unable to display preview. Download preview PDF.