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Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer
  Prediction

Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction

16 June 2016
Jacob Steinhardt
Gregory Valiant
Moses Charikar
ArXivPDFHTML

Papers citing "Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction"

5 / 5 papers shown
Title
Initializing Services in Interactive ML Systems for Diverse Users
Initializing Services in Interactive ML Systems for Diverse Users
Avinandan Bose
Mihaela Curmei
Daniel L. Jiang
Jamie Morgenstern
Sarah Dean
Lillian J. Ratliff
Maryam Fazel
40
5
0
19 Dec 2023
Regularized Minimax Conditional Entropy for Crowdsourcing
Regularized Minimax Conditional Entropy for Crowdsourcing
Dengyong Zhou
Qiang Liu
John C. Platt
Christopher Meek
Nihar B. Shah
NoLa
45
71
0
25 Mar 2015
Approval Voting and Incentives in Crowdsourcing
Approval Voting and Incentives in Crowdsourcing
Nihar B. Shah
Dengyong Zhou
Yuval Peres
32
72
0
19 Feb 2015
Robust and computationally feasible community detection in the presence
  of arbitrary outlier nodes
Robust and computationally feasible community detection in the presence of arbitrary outlier nodes
T. Tony Cai
Xiaodong Li
141
140
0
23 Apr 2014
Tuned Models of Peer Assessment in MOOCs
Tuned Models of Peer Assessment in MOOCs
Chris Piech
Jonathan Huang
Zhenghao Chen
Chuong B. Do
A. Ng
D. Koller
HAI
52
402
0
09 Jul 2013
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