NeurIPS 2025poster0 citations
Cyclic Counterfactuals under Shift–Scale Interventions
Saptarshi Saha, Dhruv Vansraj Rathore, Utpal Garain
Abstract
Most counterfactual inference frameworks traditionally assume acyclic structural causal models (SCMs), i.e. directed acyclic graphs (DAGs). However, many real-world systems (e.g. biological systems) contain feedback loops or cyclic dependencies that violate acyclicity. In this work, we study counterfactual inference in cyclic SCMs under shift–scale interventions, i.e., soft, policy-style changes that rescale and/or shift a variable’s mechanism.
CounterfactualsCausalitycyclic SCM
BibTeX
@inproceedings{
saha2025cyclic,
title={Cyclic Counterfactuals under Shift{\textendash}Scale Interventions},
author={Saptarshi Saha and Dhruv Vansraj Rathore and Utpal Garain},
booktitle={The Thirty-ninth Annual Conference on Neural Information Processing Systems},
year={2025},
url={https://openreview.net/forum?id=erwwuMhTJX}
}