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Very recently crowdsourcing has become the de facto platform for distributing and collecting human computation for a wide range of tasks and applications such as information retrieval, natural language processing and machine learning.
On the likelihood that one unknown probability exceeds another in view of the evidence of two samples
William R. Thompson · 1933
Earlier work this paper cites.
A single-sample multiple decision procedure for selecting the multinomial event which has the highest probability
R. E. Bechhofer, S. Elmaghraby, and N. Morse · 1959
Earlier work this paper cites.
A sequential procedure for selecting the most probable multinomial event
J. T. Ramey Jr. and K. Alam · 1979
Earlier work this paper cites.
Truncation of the bechhofer-kiefer-sobel sequential procedure for selecting the multinomial event which has the largest probability
R. E. Bechhofer and D. Goldsman · 1985
Earlier work this paper cites.
Asymptotically efficient Adaptive Allocation Rules
Tze Leung Lai and Herbert Robbins · 1985
Earlier work this paper cites.
The nonstochastic multiarmed bandit problem
Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, and Robert E. Schapire · 1995
Earlier work this paper cites.
Finite-time analysis of the multiarmed bandit problem
Peter Auer, Nicolò Cesa-Bianchi, and Paul Fischer · 1998
Earlier work this paper cites.
An optimal algorithm for monte carlo estimation
Paul Dagum, Richard M. Karp, Michael Luby, and Sheldon M. Ross · 2000
Earlier work this paper cites.
Budgeted learning of naive-bayes classifiers
Daniel J. Lizotte, Omid Madani, and Russell Greiner · 2003
Earlier work this paper cites.
The sample complexity of exploration in the multi-armed bandit problem
Shie Mannor and John N. Tsitsiklis · 2003
Earlier work this paper cites.
Nearly tight bounds for the continuum-armed bandit problem
Robert Kleinberg · 2004
Earlier work this paper cites.
Active model selection
Omid Madani, Daniel J. Lizotte, and Russell Greiner · 2004
Earlier work this paper cites.
Learning with attribute costs
Haim Kaplan, Eyal Kushilevitz, and Yishay Mansour · 2005
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Prediction, learning, and games
Nicolò Cesa-Bianchi and Gábor Lugosi · 2006
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Multi-Armed Bandits in Metric Spaces
Robert Kleinberg, Aleksandrs Slivkins, and Eli Upfal · 2008
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Empirical bernstein stopping
Volodymyr Mnih, Csaba Szepesvári, and Jean-Yves Audibert · 2008
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Cheap and fast - but is it good? evaluating non-expert annotations for natural language tasks
Rion Snow, Brendan O’Connor, Daniel Jurafsky, and Andrew Y. Ng · 2008
Cited alongside, same era.
Get another label? improving data quality and data mining using multiple, noisy labelers
Victor S. Sheng, Foster J. Provost, and Panagiotis G. Ipeirotis · 2008
Cited alongside, same era.
An Empirical Evaluation of Thompson Sampling
Olivier Chapelle and Lihong Li · 2011
Later among the works it cites.
Crowddb: answering queries with crowdsourcing
Michael J. Franklin, Donald Kossmann, Tim Kraska, Sukriti Ramesh, and Reynold Xin · 2011
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Iterative learning for reliable crowdsourcing systems
David R. Karger, Sewoong Oh, and Devavrat Shah · 2011
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Human Computation
Edith Law and Luis von Ahn · 2011
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Analysis of Thompson Sampling for the multi-armed bandit problem
Shipra Agrawal and Navin Goyal · 2012
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Dynamic pricing with limited supply
Moshe Babaioff, Shaddin Dughmi, Robert Kleinberg, and Aleksandrs Slivkins · 2012
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Pure Exploration in Multi-Armed Bandit Problems
Sébastien Bubeck, Rémi Munos, and Gilles Stoltz · 2009
Cited alongside, same era.
Fast, cheap, and creative: Evaluating translation quality using amazon’s mechanical turk
Chris Callison-Burch · 2009
Cited alongside, same era.
Vox populi: Collecting high-quality labels from a crowd
Ofer Dekel and Ohad Shamir · 2009
Cited alongside, same era.
Web-scale Bayesian click-through rate prediction for sponsored search advertising in Microsofts Bing search engine
Thore Graepel, Joaquin Quinonero Candela, Thomas Borchert, and Ralf Herbrich · 2010
Cited alongside, same era.
A modern bayesian look at the multi-armed bandit
Steven L.Scott · 2010
Cited alongside, same era.
Online task assignment in crowdsourcing markets
Chien-Ju Ho and Jennifer Wortman Vaughan · 2012
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Combining human and machine intelligence in large-scale crowdsourcing
Ece Kamar, Severin Hacker, and Eric Horvitz · 2012
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Optimistic knowledge gradient for optimal budget allocation in crowdsourcing
Xi Chen, Qihang Lin, and Dengyong Zhou · 2013
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Adaptive task assignment for crowdsourced classification
Chien-Ju Ho, Shahin Jabbari, and Jennifer Wortman Vaughan · 2013
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Efficient budget allocation with accuracy guarantees for crowdsourcing classification tasks
Long Tran-Thanh, Matteo Venanzi, Alex Rogers, and Nicholas R. Jennings · 2013
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