Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model

Hideaki Imamura, Issei Sato, Masashi Sugiyama. Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model. In Jennifer G. Dy, Andreas Krause 0001, editors, Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsmässan, Stockholm, Sweden, July 10-15, 2018. Volume 80 of JMLR Workshop and Conference Proceedings, pages 2152-2161, JMLR.org, 2018. [doi]

Abstract

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