Causal Inference

A causal machine learning framework for pharmacovigilance signal detection in electronic health records: Drug-induced acute kidney injury CLeaR 2026 A Causal Target for Learning to Defer Under Hidden Confounding AAAI 2026 A Comprehensive Collection of Vignettes for Actual Causation CLeaR 2026 A fine-grained look at causal effects in causal spaces CLeaR 2026 AILS-NTUA at SemEval-2026 Task 12: Graph-Based Retrieval and Reflective Prompting for Abductive Event Reasoning SemEval 2026 A novel hybrid approach for positive-valued DAG learning CLeaR 2026 Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs UAI 2026 Bayesian Hierarchical Invariant Prediction CLeaR 2026 BiomedCCPL: Causal Conditional Prompt Learning for Biomedical Vision-Language Models CVPR 2026 Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach CLeaR 2026 Breaking Bad: Component-Wise Parent Deletion for Score-Based Causal Discovery UAI 2026 Causal Articulation Theory (CAT): Articulating Static and Temporal Causal Models Beyond LLM Rationalizations CLeaR 2026 Causal Discovery from Interval-Based Event Sequences AAAI 2026 Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects AAAI 2026 Causal Influences over Social Learning Networks JMLR 2026 Causal Reasoning with Bipartite Graphical Causal Models UAI 2026 CGU-Bayes: Causal Graph Uncertainty-Guided Bayesian Inference for Domain Generalization CVPR 2026 Coarsening Bias from Variable Discretization in Causal Functionals UAI 2026 Coarsening Causal DAG Models CLeaR 2026 Composite Graphical Causal Models for Inference on Heterogeneous-Indexed Data CLeaR 2026 DAG Learning from Zero-Inflated Count Data Using Continuous Optimization CLeaR 2026 Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis AAAI 2026 Discovering Linear Non-Gaussian Models for All Categories of Missing Data (Student Abstract) AAAI 2026 Evaluation of "Probabilities of Causation" in Case-Control Studies: Identification and Estimation UAI 2026 Experimentation on Endogenous Graphs AAAI 2026