 |
 One-Shot Strategic Classification Under Unknown CostsInternational Conference on Machine Learning (ICML), 2023 |
 The Risks of Recourse in Binary ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023 |
 Performative Prediction with Bandit Feedback: Learning through
ReparameterizationInternational Conference on Machine Learning (ICML), 2023 |
 Iterative Partial Fulfillment of Counterfactual Explanations: Benefits
and RisksAAAI/ACM Conference on AI, Ethics, and Society (AIES), 2023 |
 Causal Strategic Classification: A Tale of Two ShiftsInternational Conference on Machine Learning (ICML), 2023 |
 Improvement-Focused Causal Recourse (ICR)AAAI Conference on Artificial Intelligence (AAAI), 2022 |
 Equal Improvability: A New Fairness Notion Considering the Long-term
ImpactInternational Conference on Learning Representations (ICLR), 2022 |
 Strategic RepresentationInternational Conference on Machine Learning (ICML), 2022 |
 Metric-Fair Classifier DerandomizationInternational Conference on Machine Learning (ICML), 2022 |
 Fairness Transferability Subject to Bounded Distribution ShiftNeural Information Processing Systems (NeurIPS), 2022 |
