Causal Inference

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs EMNLP 2024 Temporal Knowledge Question Answering via Abstract Reasoning Induction ACL 2024 The Odyssey of Commonsense Causality: From Foundational Benchmarks to Cutting-Edge Reasoning EMNLP 2024 Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders ICML 2024 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024 Towards Bounding Causal Effects under Markov Equivalence UAI 2024 Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention ICML 2024 Towards Learning and Explaining Indirect Causal Effects in Neural Networks AAAI 2024 Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs in Time Series AAAI 2024 Triple Changes Estimator for Targeted Policies ICML 2024 Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias ICML 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 Unified Covariate Adjustment for Causal Inference NeurIPS 2024 Unit Selection with Nonbinary Treatment and Effect AAAI 2024 Unveiling Currency Market Dynamics: Leveraging Federal Reserve Communications for Strategic Investment Insights COLING 2024 Unveiling Factual Recall Behaviors of Large Language Models through Knowledge Neurons EMNLP 2024 Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation AISTATS 2024 Using Causal Inference to Investigate Contraceptive Discontinuation in Sub-Saharan Africa IJCAI 2024 Vision-and-Language Navigation via Causal Learning CVPR 2024 What Would Happen Next? Predicting Consequences from An Event Causality Graph EMNLP 2024 When Causal Inference Meets Graph Machine Learning AAAI 2024 When to Act and When to Ask: Policy Learning With Deferral Under Hidden Confounding NeurIPS 2024 Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024 Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation NeurIPS 2024 Zero Inflation as a Missing Data Problem: a Proxy-based Approach UAI 2024