causal inference

Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024 Seeing Through VisualBERT: A Causal Adventure on Memetic Landscapes EMNLP 2024 Self-Compatibility: Evaluating Causal Discovery without Ground Truth AISTATS 2024 Self-Healing Machine Learning: A Framework for Autonomous Adaptation in Real-World Environments NeurIPS 2024 Semiparametric Efficient Inference in Adaptive Experiments CLeaR 2024 s-ID: Causal Effect Identification in a Sub-population AAAI 2024 Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning AAAI 2024 SLANG: New Concept Comprehension of Large Language Models EMNLP 2024 Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract) COLT 2024 Smoke and Mirrors in Causal Downstream Tasks NeurIPS 2024 Soft Measures for Extracting Causal Collective Intelligence EMNLP 2024 SpaCE: The Spatial Confounding Environment ICLR 2024 Sparse Graphical Linear Dynamical Systems JMLR 2024 Stage-Aware Learning for Dynamic Treatments JMLR 2024 Statistical and Causal Robustness for Causal Null Hypothesis Tests UAI 2024 Structured Learning of Compositional Sequential Interventions NeurIPS 2024 Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect COLING 2024 Tangential Wasserstein Projections JMLR 2024 Targeted Sequential Indirect Experiment Design NeurIPS 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction AAAI 2024 Temporal Knowledge Graph Extrapolation via Causal Subhistory Identification IJCAI 2024 Testing Semantic Importance via Betting NeurIPS 2024 TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024 The Causal Impact of Credit Lines on Spending Distributions AAAI 2024 The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning EMNLP 2024