Causal Inference

Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning IJCAI 2024 Towards Safe Policy Learning under Partial Identifiability: A Causal Approach AAAI 2024 Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series AAAI 2024 Towards the Reusability and Compositionality of Causal Representations CLeaR 2024 Towards Understanding Extrapolation: a Causal Lens NeurIPS 2024 Toward the Identifiability of Comparative Deep Generative Models CLeaR 2024 Transportable Representations for Domain Generalization AAAI 2024 Transport-based Counterfactual Models JMLR 2024 Treatment Effects Estimation By Uniform Transformer ICLR 2024 Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias ICML 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 Ukrainian Resilience: A Dataset for Detection of Help-Seeking Signals Amidst the Chaos of War EMNLP 2024 Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection CVPR 2024 Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in LLMs NeurIPS 2024 Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024 UNcommonsense Reasoning: Abductive Reasoning about Uncommon Situations NAACL 2024 Uncovering What Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly CVPR 2024 Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution AAAI 2024 Unified Covariate Adjustment for Causal Inference NeurIPS 2024 Unit Selection with Nonbinary Treatment and Effect AAAI 2024 Untangle the KNOT: Interweaving Conflicting Knowledge and Reasoning Skills in Large Language Models COLING 2024 Unveiling Causal Reasoning in Large Language Models: Reality or Mirage? NeurIPS 2024 Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation AISTATS 2024 Unveiling the Potential of Robustness in Selecting Conditional Average Treatment Effect Estimators NeurIPS 2024 Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa IJCAI 2024