Schedule

Contributed Talks

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses (Harris, Ngo, Stapleton, Heidari, Wu)

Feature Attribution and Recourse via Probabilistic Contrastive Counterfactuals (Galhotra, Pradhan, Salimi)

Linear Classifiers that Encourage Constructive Adaptation (Chen, Wang, Liu)

On the Fairness of Causal Algorithmic Recourse (von Kügelgen, Karimi, Bhatt, Valera, Weller, Schölkopf)

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms (Pawelczyk, Bielawski, van den Heuvel, Richter, Kasneci)

CounterNet: End-to-End Training of Counterfactual Aware Predictions (Guo, Nguyen, Yadav)

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks (Lucic, ter Hoeve, Tolomei, de Rijke, Silvestri)

Towards Robust and Reliable Algorithmic Recourse (Upadhyay, Joshi, Lakkaraju)