Causal Inference

CHECKWHY: Causal Fact Verification via Argument Structure ACL 2024 CLEAR: Can Language Models Really Understand Causal Graphs? EMNLP 2024 CLEVR-POC: Reasoning-Intensive Visual Question Answering in Partially Observable Environments COLING 2024 CMA-R: Causal Mediation Analysis for Explaining Rumour Detection EACL 2024 CoCoG: Controllable Visual Stimuli Generation Based on Human Concept Representations IJCAI 2024 COLD: Causal reasOning in cLosed Daily activities NeurIPS 2024 CoLiDE: Concomitant Linear DAG Estimation ICLR 2024 Combinatorial Causal Bandits without Graph Skeleton ACML 2024 Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference NeurIPS 2024 Conditional Common Entropy for Instrumental Variable Testing and Partial Identification ICML 2024 Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand NeurIPS 2024 Conditional Instrumental Variable Regression with Representation Learning for Causal Inference ICLR 2024 Conditional Outcome Equivalence: A Quantile Alternative to CATE NeurIPS 2024 Conditions for parameter unidentifiability of linear ARX systems for enhancing security L4DC 2024 Confounded Budgeted Causal Bandits CLeaR 2024 Consistency of Neural Causal Partial Identification NeurIPS 2024 Contextual Directed Acyclic Graphs AISTATS 2024 Contextualizing Argument Quality Assessment with Relevant Knowledge NAACL 2024 Continuous Treatment Effect Estimation Using Gradient Interpolation and Kernel Smoothing AAAI 2024 Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation AAAI 2024 CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024 CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering EMNLP 2024 Counterfactual Density Estimation using Kernel Stein Discrepancies ICLR 2024 Counterfactual Fairness by Combining Factual and Counterfactual Predictions NeurIPS 2024 Counterfactual Image Editing ICML 2024