Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach.

@inproceedings{wang-2025-learning, author = {Haotian Wang and Hao Zou and Xueguang Zhou and Shangwen Wang and Wenjing Yang and Peng Cui}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{Learning Feasible Causal Algorithmic Recourse: A Prior Structural Knowledge Free Approach}}, booktitle = {{Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025- 2 May 2025}}, pages = {4507--4518}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3696410.3714859}, doi = {https://doi.org/10.1145/3696410.3714859} }