causal inference

Distributionally Robust Policy Evaluation and Learning for Continuous Treatment with Observational Data AAAI 2025 Do Contemporary Causal Inference Models Capture Real-World Heterogeneity? Findings from a Large-Scale Benchmark ICLR 2025 Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments AISTATS 2025 Doubly robust identification of treatment effects from multiple environments ICLR 2025 Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification COLING 2025 Dynamic Energy-Based Contrastive Learning with Multi-Stage Knowledge Verification for Event Causality Identification EMNLP 2025 Effective and Efficient Time-Varying Counterfactual Prediction with State-Space Models ICLR 2025 Efficient Causal Decision Making with One-sided Feedback ICLR 2025 Eliciting Causal Abilities in Large Language Models for Reasoning Tasks AAAI 2025 Enhancing Counterfactual Estimation: A Focus on Temporal Treatments IJCAI 2025 Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing COLING 2025 Enhancing Predictive Imaging Biomarker Discovery through Treatment Effect Analysis WACV 2025 Enhancing the Logical Reasoning Abilities of Large Language Models IJCAI 2025 Enumerating Optimal Cost-Constrained Adjustment Sets UAI 2025 ERCI: An Explainable Experience Replay Approach with Causal Inference for Deep Reinforcement Learning AAAI 2025 Estimating Causal Effects of Text Interventions Leveraging LLMs IJCNLP 2025 Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement ICLR 2025 Evaluating Index-based Treatment Allocation in Underresourced Communities AAAI 2025 Evaluation of Active Feature Acquisition Methods for Time-varying Feature Settings JMLR 2025 Everything, Everywhere, All at Once: Is Mechanistic Interpretability Identifiable? ICLR 2025 Experimentation under Treatment Dependent Network Interference UAI 2025 Exploring Backward Reasoning in Large Language Models NAACL 2025 Fairness-Accuracy Trade-Offs: A Causal Perspective AAAI 2025 FeDCM: Federated Learning of Deep Causal Generative Models UAI 2025 Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis AISTATS 2025