Causal Inference

A Cause-Effect Look at Alleviating Hallucination of Knowledge-grounded Dialogue Generation COLING 2024 Accelerating UMR Adoption: Neuro-Symbolic Conversion from AMR-to-UMR with Low Supervision COLING 2024 ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization ICML 2024 Achievable distributional robustness when the robust risk is only partially identified NeurIPS 2024 Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training Interspeech 2024 Active Statistical Inference ICML 2024 Adaptive Experimentation When You Can't Experiment NeurIPS 2024 Adaptive Instrument Design for Indirect Experiments ICLR 2024 Addressing Both Statistical and Causal Gender Fairness in NLP Models NAACL 2024 Addressing Hidden Confounding with Heterogeneous Observational Datasets for Recommendation NeurIPS 2024 A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference COLING 2024 A Divide and Conquer Approach for Solving Structural Causal Models PGM 2024 Adjustment Identification Distance: A gadjid for Causal Structure Learning UAI 2024 Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation ACL 2024 Adversarially Balanced Representation for Continuous Treatment Effect Estimation AAAI 2024 A Dynamical View of the Question of Why ICLR 2024 A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton AAAI 2024 A General Identification Algorithm For Data Fusion Problems Under Systematic Selection UAI 2024 A Global Markov Property for Solutions of Stochastic Difference Equations and the corresponding Full Time Graphs UAI 2024 A Graph Dynamics Prior for Relational Inference AAAI 2024 A hierarchical decomposition for explaining ML performance discrepancies NeurIPS 2024 A Hierarchical Network for Multimodal Document-Level Relation Extraction AAAI 2024 A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction AAAI 2024 A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment JMLR 2024 Align and Augment: Generative Data Augmentation for Compositional Generalization EACL 2024