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cs.GT2025
Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning
Valia Efthymiou, Ekaterina Fedorova, Chara Podimata
Strategic classification examines how decision rules interact with agents who strategically adapt their features. Most existing models focus on maximizing predictive performance, a…
cs.GT2025
Can Users Fix Algorithms? A Game-Theoretic Analysis of Collective Content Amplification in Recommender Systems
Ekaterina Fedorova, Madeline Kitch, Chara Podimata
Users of social media platforms based on recommendation systems (e.g. TikTok, X, YouTube) strategically interact with platform content to influence future recommendations. On some…
cs.GT2025
Incentive-Aware Machine Learning; Robustness, Fairness, Improvement & Causality
Chara Podimata
The article explores the emerging domain of incentive-aware machine learning (ML), which focuses on algorithmic decision-making in contexts where individuals can strategically modi…