Accepted papers

Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses

Keegan Harris, Dung Daniel T Ngo, Logan Stapleton, Hoda Heidari, Steven Wu

Stateful Strategic Regression

Keegan Harris, Hoda Heidari, Steven Wu

Meaningfully Explaining a Model's Mistakes

Abubakar Abid, James Zou

Counterfactual Explanations for Arbitrary Regression Models

Thomas Spooner, Danial Dervovic, Jason Long, Jon Shepard, Jiahao Chen, Daniele Magazzeni

CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks

Ana Lucic, Maartje A ter Hoeve, Gabriele Tolomei, Maarten de Rijke, Fabrizio Silvestri

On the Connections between Counterfactual Explanations and Adversarial Examples

Martin Pawelczyk, Shalmali Joshi, Chirag Agarwal, Sohini Upadhyay, Himabindu Lakkaraju

Towards Robust and Reliable Algorithmic Recourse

Sohini Upadhyay, Shalmali Joshi, Himabindu Lakkaraju

Causal Perspective on Meaningful and Robust Algorithmic Recourse

Gunnar König, Timo Freiesleben, Moritz Grosse-Wentrup

On the Fairness of Causal Algorithmic Recourse

Julius von Kügelgen, Amir H Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

Martin Pawelczyk, Sascha Bielawski, Johannes van den Heuvel, Tobias Richter, Gjergji Kasneci

Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects

Julius von Kügelgen, Nikita Agarwal, Jakob Zeitler, Afsaneh Mastouri, Bernhard Schölkopf

Learning through Recourse under Censoring

Jennifer J Chien, Margaret Roberts, Berk Ustun