Itay Eilat
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View article: Performative Recommendation: Diversifying Content via Strategic Incentives
Performative Recommendation: Diversifying Content via Strategic Incentives Open
The primary goal in recommendation is to suggest relevant content to users, but optimizing for accuracy often results in recommendations that lack diversity. To remedy this, conventional approaches such as re-ranking improve diversity by p…
View article: Strategic Classification with Graph Neural Networks
Strategic Classification with Graph Neural Networks Open
Strategic classification studies learning in settings where users can modify their features to obtain favorable predictions. Most current works focus on simple classifiers that trigger independent user responses. Here we examine the implic…
View article: Strategic Classification in the Dark
Strategic Classification in the Dark Open
Strategic classification studies the interaction between a classification rule and the strategic agents it governs. Under the assumption that the classifier is known, rational agents respond to it by manipulating their features. However, i…