Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem

13 February 2013

Papers citing "Adaptive Crowdsourcing Algorithms for the Bandit Survey Problem"

9 / 9 papers shown

Title
Replicability is Asymptotically Free in Multi-armed Bandits Junpei Komiyama Shinji Ito Yuichi Yoshida Souta Koshino 37 1 0 12 Feb 2024
Crowdsourcing with Unsure Option Yao-Xiang Ding Zhi-Hua Zhou 36 9 0 01 Sep 2016
Fundamental Limits of Budget-Fidelity Trade-off in Label Crowdsourcing F. Lahouti B. Hassibi 10 7 0 25 Aug 2016
The Importance of Worker Reputation Information in Microtask-Based Crowd Work Systems A. Tarable A. Nordio Emilio Leonardi M. Marsan 32 8 0 26 May 2016
Regularized Minimax Conditional Entropy for Crowdsourcing Dengyong Zhou Qiang Liu John C. Platt Christopher Meek Nihar B. Shah NoLa 38 71 0 25 Mar 2015
The Importance of Being Earnest in Crowdsourcing Systems A. Tarable A. Nordio Emilio Leonardi M. Marsan 26 30 0 26 Nov 2014
How Many Workers to Ask? Adaptive Exploration for Collecting High Quality Labels Ittai Abraham Omar Alonso Vasileios Kandylas Rajesh Patel Steven Shelford Aleksandrs Slivkins 36 24 0 01 Nov 2014
An Incentive Compatible Multi-Armed-Bandit Crowdsourcing Mechanism with Quality Assurance Shweta Jain Sujit Gujar Satyanath Bhat O. Zoeter Y. Narahari 42 6 0 27 Jun 2014
Online Decision Making in Crowdsourcing Markets: Theoretical Challenges (Position Paper) Aleksandrs Slivkins Jennifer Wortman Vaughan 39 88 0 08 Aug 2013