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

13 February 2018

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

8 / 8 papers shown

Title
Mixture of Experts based Multi-task Supervise Learning from Crowds Tao Han Huaixuan Shi Xinyi Ding Xiao Ma Huamao Gu Yili Fang 52 0 0 18 Jul 2024
Exact Exponent in Optimal Rates for Crowdsourcing Chao Gao Yu Lu Dengyong Zhou FedML 81 49 0 25 May 2016
Bayesian Nonparametric Crowdsourcing Pablo G. Moreno Yee Whye Teh Fernando Perez-Cruz Antonio Artés-Rodríguez 64 59 0 18 Jul 2014
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing Yuchen Zhang Xi Chen Dengyong Zhou Michael I. Jordan FedML 58 386 0 15 Jun 2014
Ranking and combining multiple predictors without labeled data Fabio Parisi Francesco Strino B. Nadler Y. Kluger 76 135 0 13 Mar 2013
How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing Yoram Bachrach T. Graepel T. Minka J. Guiver 70 209 0 27 Jun 2012
TrueLabel + Confusions: A Spectrum of Probabilistic Models in Analyzing Multiple Ratings Chao Liu Yi-Min Wang 44 55 0 18 Jun 2012
Budget-Optimal Task Allocation for Reliable Crowdsourcing Systems David R Karger Sewoong Oh Devavrat Shah 73 380 0 17 Oct 2011