Causal Inference

FOLIO: Natural Language Reasoning with First-Order Logic EMNLP 2024 FORECAST2023: A Forecast and Reasoning Corpus of Argumentation Structures COLING 2024 Formal Logic Enabled Personalized Federated Learning through Property Inference AAAI 2024 Foundations of Testing for Finite-Sample Causal Discovery ICML 2024 From Biased Selective Labels to Pseudo-Labels: An Expectation-Maximization Framework for Learning from Biased Decisions ICML 2024 From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks ICML 2024 From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News IJCAI 2024 Fundamental Properties of Causal Entropy and Information Gain CLeaR 2024 FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion NeurIPS 2024 Fusing Individualized Treatment Rules Using Secondary Outcomes AISTATS 2024 General Identifiability and Achievability for Causal Representation Learning AISTATS 2024 Generalization Bounds for Causal Regression: Insights, Guarantees and Sensitivity Analysis ICML 2024 Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables JMLR 2024 Generalized Planning for the Abstraction and Reasoning Corpus AAAI 2024 Generating and Evaluating Plausible Explanations for Knowledge Graph Completion ACL 2024 Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View ICLR 2024 Geometry-Aware Instrumental Variable Regression ICML 2024 Getting More Juice Out of the SFT Data: Reward Learning from Human Demonstration Improves SFT for LLM Alignment NeurIPS 2024 Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning NAACL 2024 GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion AAAI 2024 Global Lyapunov functions: a long-standing open problem in mathematics, with symbolic transformers NeurIPS 2024 Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization NeurIPS 2024 Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length JMLR 2024 Granular Analysis of Social Media Users’ Truthfulness Stances Toward Climate Change Factual Claims ACL 2024 Graph Contrastive Invariant Learning from the Causal Perspective AAAI 2024