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Prediction on a graph

Prediction on a graph

This video was recorded at 6th Slovenian International Conference on Graph Theory, Bled 2007. We will discuss the problem of robust online learning over a graph. Consider the following game for predicting the labeling of a graph. "Nature" presents a vertex v1; the "learner" predicts the label of the vertex ˆy1; nature presents a label y1; nature presents a vertex v2; the learner predicts ˆy2; and so forth. The learner's goal is minimize the total number of mistakes. If nature is adversarial, the learner will always mispredict; but if nature is regular or simple, there is hope that a learner may make only a few mispredictions. Thus, a methodological goal is to give learners whose total mispredictions can be bounded relative to the "complexity" of nature's labeling. In this talk, we consider... Show More


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