 Algorithmic Decision-Making under Agents with Persistent ImprovementAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024 |
 Non-linear Welfare-Aware Strategic LearningAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2024 |
 One-Shot Strategic Classification Under Unknown CostsInternational Conference on Machine Learning (ICML), 2023 |
 Strategic Apple TastingNeural Information Processing Systems (NeurIPS), 2023 |
 Calibrated Stackelberg Games: Learning Optimal Commitments Against
Calibrated AgentsNeural Information Processing Systems (NeurIPS), 2023 |
 Strategic Classification under Unknown Personalized ManipulationNeural Information Processing Systems (NeurIPS), 2023 |
 Fundamental Bounds on Online Strategic ClassificationACM Conference on Economics and Computation (EC), 2023 |
 Causal Strategic Classification: A Tale of Two ShiftsInternational Conference on Machine Learning (ICML), 2023 |
 Sequential Strategic ScreeningInternational Conference on Machine Learning (ICML), 2023 |
 Provably Accurate and Scalable Linear Classifiers in Hyperbolic SpacesKnowledge and Information Systems (KAIS), 2022 |
 Setting Fair Incentives to Maximize ImprovementSymposium on Foundations of Responsible Computing (FRC), 2022 |
 On classification of strategic agents who can both game and improveSymposium on Foundations of Responsible Computing (FRC), 2022 |
 Stateful Strategic RegressionNeural Information Processing Systems (NeurIPS), 2021 |
 Strategic Classification Made PracticalInternational Conference on Machine Learning (ICML), 2021 |
 Information Discrepancy in Strategic LearningInternational Conference on Machine Learning (ICML), 2021 |
 Strategic Classification in the DarkInternational Conference on Machine Learning (ICML), 2021 |
 PAC-Learning for Strategic ClassificationInternational Conference on Machine Learning (ICML), 2020 |
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