Causal Inference

Toward Falsifying Causal Graphs Using a Permutation-Based Test AAAI 2025 Towards Robustness and Explainability of Automatic Algorithm Selection ICML 2025 Transformer-Based Spatial-Temporal Counterfactual Outcomes Estimation ICML 2025 TReMu: Towards Neuro-Symbolic Temporal Reasoning for LLM-Agents with Memory in Multi-Session Dialogues ACL 2025 Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning AAAI 2025 Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models ACL 2025 Unzipping the Causality of Zipf’s Law and Other Lexical Trade-offs NAACL 2025 VCD: A Dataset for Visual Commonsense Discovery in Images ACL 2025 What Makes Treatment Effects Identifiable? Characterizations and Estimators Beyond Unconfoundedness (Extended Abstract) COLT 2025 Your Assumed DAG is Wrong And Here’s How To Deal With It CLeaR 2025 $χ$SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains UAI 2024 A causality-inspired plus-minus model for player evaluation in team sports CLeaR 2024 Achievable distributional robustness when the robust risk is only partially identified NeurIPS 2024 A Compositional Atlas for Algebraic Circuits NeurIPS 2024 A Conflict-Embedded Narrative Generation Using Commonsense Reasoning IJCAI 2024 Action Inference for Destination Prediction in Vision-and-Language Navigation ACL 2024 Adjustment Identification Distance: A gadjid for Causal Structure Learning UAI 2024 A Dual-module Framework for Counterfactual Estimation over Time ICML 2024 A Fixed-Point Approach for Causal Generative Modeling ICML 2024 A General Identification Algorithm For Data Fusion Problems Under Systematic Selection UAI 2024 Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs ICML 2024 A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024 Alternative Measures of Direct and Indirect Effects PGM 2024 Amortized Active Causal Induction with Deep Reinforcement Learning NeurIPS 2024 An effective framework for estimating individualized treatment rules NeurIPS 2024