algorithmic recourse

Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden AAAI 2026 From Search to Sampling: Generative Models for Robust Algorithmic Recourse ICLR 2025 To Give or Not to Give? The Impacts of Strategically Withheld Recourse AISTATS 2025 A New Paradigm for Counterfactual Reasoning in Fairness and Recourse IJCAI 2024 CARE: Counterfactual-Based Algorithmic Recourse for Explainable Pose Correction WACV 2024 Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals AAAI 2024 Learning Decision Trees and Forests with Algorithmic Recourse ICML 2024 Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective IJCAI 2024 Robust Counterfactual Explanations in Machine Learning: A Survey IJCAI 2024 SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies AAAI 2024 The Risks of Recourse in Binary Classification AISTATS 2024 Estimation of Counterfactual Interventions under Uncertainties ACML 2023 Fairness Aware Counterfactuals for Subgroups NeurIPS 2023 Feasible Recourse Plan via Diverse Interpolation AISTATS 2023 Improvement-Focused Causal Recourse (ICR) AAAI 2023 On the Impact of Algorithmic Recourse on Social Segregation ICML 2023 On the Privacy Risks of Algorithmic Recourse AISTATS 2023 On the Trade-Off between Actionable Explanations and the Right to be Forgotten ICLR 2023 Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse ICLR 2023 The Many Faces of Adversarial Machine Learning AAAI 2023 Amortized Generation of Sequential Algorithmic Recourses for Black-Box Models AAAI 2022 Bayesian Persuasion for Algorithmic Recourse NeurIPS 2022 On the Adversarial Robustness of Causal Algorithmic Recourse ICML 2022 On the Fairness of Causal Algorithmic Recourse AAAI 2022 Robust Bayesian recourse UAI 2022