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Epistemic voting interprets votes as noisy signals about a ground truth. Weconsider contexts where the truth consists of a set of objective winners,knowing a lower and upper bound on its cardinality. A prototypical problem forthis setting is the aggre-gation of multi-label annotations with priorknowledge on the size of the ground truth. We posit noisemodels, for which wedefine rules that output an optimal set of winners. We report on experiments onmulti-label annotations (which we collected).

Multi-winner Approval Voting Goes Epistemic