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Robust Decision Aggregation with Adversarial Experts
March 14, 2024, 4:41 a.m. | Yongkang Guo, Yuqing Kong
cs.LG updates on arXiv.org arxiv.org
Abstract: We consider a binary decision aggregation problem in the presence of both truthful and adversarial experts. The truthful experts will report their private signals truthfully with proper incentive, while the adversarial experts can report arbitrarily. The decision maker needs to design a robust aggregator to forecast the true state of the world based on the reports of experts. The decision maker does not know the specific information structure, which is a joint distribution of signals, …
abstract adversarial aggregation arxiv binary cs.ai cs.lg decision design experts forecast maker report robust state true type will
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