Causal Inference

Learning Causal Models under Independent Changes NeurIPS 2023 Learning Event-Relevant Factors for Video Anomaly Detection AAAI 2023 Learning Relational Causal Models with Cycles through Relational Acyclification AAAI 2023 Leveraging Causal Graphs for Blocking in Randomized Experiments CLeaR 2023 Leveraging Structured Information for Explainable Multi-hop Question Answering and Reasoning EMNLP 2023 Linear Causal Disentanglement via Interventions ICML 2023 Local Causal Discovery for Estimating Causal Effects CLeaR 2023 Logic and Commonsense-Guided Temporal Knowledge Graph Completion AAAI 2023 Meek Separators and Their Applications in Targeted Causal Discovery NeurIPS 2023 Mitigating Biases in Hate Speech Detection from A Causal Perspective EMNLP 2023 MM-Reasoner: A Multi-Modal Knowledge-Aware Framework for Knowledge-Based Visual Question Answering EMNLP 2023 MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document EMNLP 2023 Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance AAAI 2023 Multiply Robust Federated Estimation of Targeted Average Treatment Effects NeurIPS 2023 Nonlinear Causal Discovery with Latent Confounders ICML 2023 Nonparametric Identifiability of Causal Representations from Unknown Interventions NeurIPS 2023 Normalizing Flows for Interventional Density Estimation ICML 2023 Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023 Novel Relation Detection: Discovering Unknown Relation Types via Multi-Strategy Self-Supervised Learning EMNLP 2023 On Building a Semi-Automated Framework for Generating Causal Bayesian Networks from Raw Text IJCAI 2023 On Data Manifolds Entailed by Structural Causal Models ICML 2023 On Identifiability of Conditional Causal Effects UAI 2023 On Learning Necessary and Sufficient Causal Graphs NeurIPS 2023 On the Complexity of Counterfactual Reasoning IJCAI 2023 On the Relationship Between Explanation and Prediction: A Causal View ICML 2023