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Found 3 papers, 3 papers with code
Performative Recommendation: Diversifying Content via Strategic Incentives
The primary goal in recommendation is to suggest relevant content to users, but optimizing for accuracy often results in recommendations that lack diversity.
Strategic Classification with Graph Neural Networks
Strategic classification studies learning in settings where users can modify their features to obtain favorable predictions.
Strategic Classification in the Dark
Strategic classification studies the interaction between a classification rule and the strategic agents it governs.
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