Ranking Recovery from Limited Comparisons using Low-Rank Matrix Completion

14 Jun 2018Tal LevyAlireza VahidRaja Giryes

This paper proposes a new method for solving the well-known rank aggregation problem from pairwise comparisons using the method of low-rank matrix completion. The partial and noisy data of pairwise comparisons is transformed into a matrix form... (read more)

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