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Found 6 papers, 1 papers with code
Who Reviews The Reviewers? A Multi-Level Jury Problem
We consider the problem of determining a binary ground truth using advice from a group of independent reviewers (experts) who express their guess about a ground truth correctly with some independent probability (competence).
Peer Selection with Noisy Assessments
In the peer selection problem a group of agents must select a subset of themselves as winners for, e. g., peer-reviewed grants or prizes.
The Price is (Probably) Right: Learning Market Equilibria from Samples
Equilibrium computation in markets usually considers settings where player valuation functions are known.
Group Recommendations: Axioms, Impossibilities, and Random Walks
We introduce an axiomatic approach to group recommendations, in line of previous work on the axiomatic treatment of trust-based recommendation systems, ranking systems, and other foundational work on the axiomatic approach to internet mechanisms in social choice settings.
An Axiomatic Approach to Routing
Information delivery in a network of agents is a key issue for large, complex systems that need to do so in a predictable, efficient manner.
Strategyproof Peer Selection using Randomization, Partitioning, and Apportionment
Peer reviews, evaluations, and selections are a fundamental aspect of modern science.
