causal inference

A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination AAAI 2026 A causal fused lasso for interpretable heterogeneous treatment effects estimation JMLR 2026 A causal machine learning framework for pharmacovigilance signal detection in electronic health records: Drug-induced acute kidney injury CLeaR 2026 A Causal Markov Condition for Value UAI 2026 A Causal Target for Learning to Defer Under Hidden Confounding AAAI 2026 Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes JMLR 2026 Agentic Economic Modeling ACL 2026 AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture AAAI 2026 A Stronger Calculus of Intervention for Max-Linear Bayesian Networks UAI 2026 Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models ACL 2026 Automatic debiased machine learning and sensitivity analysis for sample selection models CLeaR 2026 Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs UAI 2026 Bounding the Causal Impact of ML-assisted Decision-Making via Counterfactual Correctness UAI 2026 Bridge: Basis-Driven Causal Inference Marries VFMs for Domain Generalization CVPR 2026 CaFlow: Enhancing Long-Term Action Quality Assessment with Causal Counterfactual Flow WACV 2026 Can Large Language Models Infer Causal Relationships from Real-World Text? ACL 2026 Canonical Domain Reduction for Partial Counterfactual Identification UAI 2026 CaRS: A Causal Intervention Segmentation Framework and Benchmark Dataset for Autonomous Driving under Transitional Weather Conditions WACV 2026 CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations AAAI 2026 CaTFormer: Causal Temporal Transformer with Dynamic Contextual Fusion for Driving Intention Prediction AAAI 2026 Causal Activation Steering via Sparse Mediation EACL 2026 Causal and Active Learning-Based Counterfactual Chest X-ray Generation for Supporting Clinical Decision-Making in Lung Disease CLeaR 2026 CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images AAAI 2026 Causal Direct Preference Optimization for Language Model Alignment EACL 2026 Causal-ESC: Reliable Policy Learning for Emotional Support Conversation via Causal Inference ACL 2026