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Efficient Crowdsourcing of Unknown Experts using Multi-Armed Bandits
4 references·1 citing·23 second hop
Efficient Crowdsourcing of Unknown Experts using Multi-Armed Bandits (2012)Efficient Crowdsourcing of Unknown Expert…ε-first policies for budget-limited multi-armed bandits (2010)ε-first policies for budget-l…Epsilon–First Policies for Budget–Limited Multi-Armed Bandits (2010)Epsilon–First Policies for Bu…Financial incentives and the "performance of crowds" (2009)Financial incentives and the …Multi-armed Bandit Algorithms and Empirical Evaluation (2005)Multi-armed Bandit Algorithms…A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks (2015)A Truthful Budget Feasible Mu…Individual Choice Behavior (1962)Finite-time Analysis of the Multiarmed Bandit Problem (2002)The Nonstochastic Multiarmed Bandit Problem (2002)Chasing a Moving Target: Exploitation and Exploration in Dynamic Environments (2011)The Knowledge Gradient Algorithm for a General Class of Online Learning Problems (2012)Simultaneously Learning and Optimizing Using Controlled Variance Pricing (2013)Some aspects of the sequential design of experiments (1952)Pure Exploration in Multi-armed Bandits Problems (2009)Resourceful Contextual Bandits (2014)Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits (2015)Thompson Sampling for Budgeted Multi-armed Bandits (2015)Judgment under Uncertainty: Heuristics and Biases (1975)Multitask Principal–Agent Analyses: Incentive Contracts, Asset Ownership, and Job Design (1991)Analyzing facebook privacy settings (2011)Stimulating Online Reviews by Combining Financial Incentives and Social Norms (2016)The Demographic and Political Composition of Mechanical Turk Samples (2016)The Wealth of Networks (2017)Optimal Auction Design (1981)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Some Aspects of the Sequential Design of Experiments (1985)Multi-Armed Bandit with Budget Constraint and Variable Costs (2013)Bandits with concave rewards and convex knapsacks (2014)Efficient crowdsourcing of unknown experts using bounded multi-armed bandits (2014)
this work references cited by second hop

References

  • 2009Financial incentives and the "performance of crowds"544 cited
  • 2005Multi-armed Bandit Algorithms and Empirical Evaluation522 cited
  • 2010Epsilon–First Policies for Budget–Limited Multi-Armed Bandits140 cited
  • 2010ε-first policies for budget-limited multi-armed bandits83 cited

Cited by

  • 2015A Truthful Budget Feasible Multi-Armed Bandit Mechanism for Crowdsourcing Time Critical Tasks42 cited

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