205 citations · 861 across the 59 of their papers we have counts for
8 papers · 1 filter
Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization
Adam Richardson, Boi Faltings
Peer prediction incentive mechanisms for crowdsourcing are generally limited to eliciting samples from categorical distributions. Prior work on extending peer prediction to arbitra…
Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain
Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings +1
The popularity and applicability of mobile crowdsensing applications are continuously increasing due to the widespread of mobile devices and their sensing and processing capabiliti…
Deep Bayesian Trust : A Dominant and Fair Incentive Mechanism for Crowd
Naman Goel, Boi Faltings
An important class of game-theoretic incentive mechanisms for eliciting effort from a crowd are the peer based mechanisms, in which workers are paid by matching their answers with…
Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge
Goran Radanovic, Boi Faltings
We study minimal single-task peer prediction mechanisms that have limited knowledge about agents' beliefs. Without knowing what agents' beliefs are or eliciting additional informat…
Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints
Goran Radanovic, Adish Singla, Andreas Krause +1
We study a problem of optimal information gathering from multiple data providers that need to be incentivized to provide accurate information. This problem arises in many real worl…
Peer Truth Serum: Incentives for Crowdsourcing Measurements and Opinions
Boi Faltings, Radu Jurca, Goran Radanovic
Modern decision making tools are based on statistical analysis of abundant data, which is often collected by querying multiple individuals. We consider data collection through crow…