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Inferring the correct answers to binary tasks based on multiple noisy answers in an unsupervised manner has emerged as the canonical question for micro-task crowdsourcing or more generally aggregating opinions.
Maximum likelihood estimation of observer error-rates using the em algorithm
Alexander Philip Dawid and Allan M Skene · 1979
Earlier work this paper cites.
The multidimensional wisdom of crowds
Peter Welinder, Steve Branson, Serge J Belongie, and Pietro Perona · 2010
Earlier work this paper cites.
Who moderates the moderators?: crowdsourcing abuse detection in user-generated content
Arpita Ghosh, Satyen Kale, and Preston McAfee · 2011
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Iterative learning for reliable crowdsourcing systems
David R Karger, Sewoong Oh, and Devavrat Shah · 2011
Earlier work this paper cites.
Online task assignment in crowdsourcing markets
Chien-Ju Ho and Jennifer Wortman Vaughan · 2012
Earlier work this paper cites.
Variational inference for crowdsourcing
Qiang Liu, Jian Peng, and Alexander T Ihler · 2012
Earlier work this paper cites.
A tensor spectral approach to learning mixed membership community models
Animashree Anandkumar, Rong Ge, Daniel Hsu, and Sham Kakade · 2013
Earlier work this paper cites.
Aggregating crowdsourced binary ratings
Nilesh Dalvi, Anirban Dasgupta, Ravi Kumar, and Vibhor Rastogi · 2013
Earlier work this paper cites.
Minimax optimal convergence rates for estimating ground truth from crowdsourced labels
Chao Gao and Dengyong Zhou · 2013
Earlier work this paper cites.
Adaptive task assignment for crowdsourced classification
Chien-Ju Ho, Shahin Jabbari, and Jennifer Wortman Vaughan · 2013
Earlier work this paper cites.
Efficient crowdsourcing for multi-class labeling
David R Karger, Sewoong Oh, and Devavrat Shah · 2013
Earlier work this paper cites.
A consistent histogram estimator for exchangeable graph models
Stanley H Chan and Edoardo Airoldi · 2014
Earlier work this paper cites.
1-bit matrix completion
Mark A Davenport, Yaniv Plan, Ewout van den Berg, and Mary Wootters · 2014
Cited alongside, same era.
Budget-optimal task allocation for reliable crowdsourcing systems
David R Karger, Sewoong Oh, and Devavrat Shah · 2014
Cited alongside, same era.
Error rate bounds and iterative weighted majority voting for crowdsourcing
Hongwei Li and Bin Yu · 2014
Cited alongside, same era.
Nonparametric estimation and testing of exchangeable graph models
Justin Yang, Christina Han, and Edoardo Airoldi · 2014
Cited alongside, same era.
Spectral methods meet em: A provably optimal algorithm for crowdsourcing
Yuchen Zhang, Xi Chen, Denny Zhou, and Michael I Jordan · 2014
Cited alongside, same era.
Community detection in general stochastic block models: fundamental limits and efficient recovery algorithms
Oracle inequalities for network models and sparse graphon estimation
Olga Klopp, Alexandre B Tsybakov, and Nicolas Verzelen · 2015
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Estimating network edge probabilities by neighborhood smoothing
Yuan Zhang, Elizaveta Levina, and Ji Zhu · 2015
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Crowdsourcing: Low complexity, minimax optimal algorithms
Thomas Bonald and Richard Combes · 2016
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Achieving budget-optimality with adaptive schemes in crowdsourcing
Ashish Khetan and Sewoong Oh · 2016
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Blind regression: Nonparametric regression for latent variable models via collaborative filtering
Christina E Lee, Yihua Li, Devavrat Shah, and Dogyoon Song · 2016
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Emmanuel Abbe and Colin Sandon · 2015
Cited alongside, same era.
Recovering communities in the general stochastic block model without knowing the parameters
Emmanuel Abbe and Colin Sandon · 2015
Cited alongside, same era.
Consistent nonparametric estimation for heavy-tailed sparse graphs
Christian Borgs, Jennifer T Chayes, Henry Cohn, and Shirshendu Ganguly · 2015
Cited alongside, same era.
Matrix estimation by universal singular value thresholding
Sourav Chatterjee · 2015
Cited alongside, same era.
Yudong Chen and Martin J Wainwright · 2015
Cited alongside, same era.
Peter Chin, Anup Rao, and Van Vu · 2015
Cited alongside, same era.
Jungseul Ok, Sewoong Oh, Jinwoo Shin, and Yung Yi · 2016
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A permutation-based model for crowd labeling: Optimal estimation and robustness
Nihar B Shah, Sivaraman Balakrishnan, and Martin J Wainwright · 2016
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Avoiding imposters and delinquents: Adversarial crowdsourcing and peer prediction
Jacob Steinhardt, Gregory Valiant, and Moses Charikar · 2016
Later among the works it cites.
Thy friend is my friend: Iterative collaborative filtering for sparse matrix estimation
Christian Borgs, Jennifer Chayes, Christina E. Lee, and Devavrat Shah · 2017
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Efficient estimation from few samples: Stochastic block models and related problems
David Steurer and Sam Hopkins · 2017
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Rates of Convergence of Spectral Methods for Graphon Estimation
Jiaming Xu · 2017
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