Poster
in
Workshop: Learning and Decision-Making with Strategic Feedback (StratML)
Scoring Rules for Performative Binary Prediction
Alan Chan
Abstract:
We construct a model of expert prediction where predictions can influence the state of the world. Under this model, we show through theoretical and numerical results that proper scoring rules can incentivize experts to manipulate the world with their predictions. We also construct a simple class of scoring rules that avoids this problem.
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