Causal Inference

Positivity-free Policy Learning with Observational Data AISTATS 2024 Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024 QWO: Speeding Up Permutation-Based Causal Discovery in LiGAMs NeurIPS 2024 Rethinking Causal Relationships Learning in Graph Neural Networks AAAI 2024 Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach AAAI 2024 Sample Complexity of Interventional Causal Representation Learning NeurIPS 2024 s-ID: Causal Effect Identification in a Sub-population AAAI 2024 Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024 Smoke and Mirrors in Causal Downstream Tasks NeurIPS 2024 Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability ICLR 2024 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024 Topic-Aware Causal Intervention for Counterfactual Detection EMNLP 2024 Towards Bounding Causal Effects under Markov Equivalence UAI 2024 Towards Representation Learning for Weighting Problems in Design-Based Causal Inference UAI 2024 Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024 Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution AAAI 2024 Unit Selection with Nonbinary Treatment and Effect AAAI 2024 Vision-and-Language Navigation via Causal Learning CVPR 2024 When Causal Inference Meets Graph Machine Learning AAAI 2024 When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NeurIPS 2024 Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation NeurIPS 2024 A Causal Framework for Decomposing Spurious Variations NeurIPS 2023 A Causal View of Entity Bias in (Large) Language Models EMNLP 2023 A Diachronic Analysis of Paradigm Shifts in NLP Research: When, How, and Why? EMNLP 2023