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Found 3 papers, 1 papers with code
Towards Prior-Free Approximately Truthful One-Shot Auction Learning via Differential Privacy
One remaining problem is to obtain priors in a way that excludes the possibility of manipulating the resulting auctions.
Human collective intelligence as distributed Bayesian inference
To address this gap, we introduce a new analytical framework: We propose that groups arrive at accurate shared beliefs via distributed Bayesian inference.
Compliance-Aware Bandits
Motivated by clinical trials, we study bandits with observable non-compliance.
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