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Grant Schoenebeck

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  • ITCS2 editions2021–2023

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titleconferencedate
False Consensus, Information Theory, and Prediction MarketsITCS 20232023-01-10
Proves that when private signals are conditional independence (substitutes), any epsilon-approximate consensus (agents’ mutual information with outcome ≤ ε…
Talk on
Relaxing Common Belief for Social NetworksITCS 20212021-01-06
Paper defines common P_mu belief (a factional-belief relaxations of common belief) and proves it undergirds partial approximate coordination in threshold…
Talk
Learning and Strongly Truthful Multi-task Setting Peer Prediction: A Variational ApproachITCS 20212021-01-06
Defines a variational estimator of phi‑mutual information and uses it to build a multi‑task peer‑prediction payment: learn an ideal scoring rule K on withheld…
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