Publications

Conference Papers

ICML 2026 International Conference on Machine Learning

Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning

Valia Efthymiou, Ekaterina Fedorova, Chara Podimata

Strategic learning studies how decision rules interact with agents who may strategically change their inputs/features to achieve better outcomes. This work studies how to incentivize desirable feature changes fairly across heterogeneous agents while preserving the principal’s objective.

NeurIPS 2025 Conference on Neural Information Processing Systems

Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty

Valia Efthymiou, Chara Podimata, Diptangshu Sen, Juba Ziani