Paper-Conference

Aggregating Incomplete and Noisy Rankings

We consider the problem of learning the true ordering of a set of alternatives from largely incomplete and noisy rankings. We introduce …

Dimitris Fotakis, Alkis Kalavasis, Konstantinos Stavropoulos